50+ Artificial Intelligence (AI) Jobs in India

Founder’s Office Associate

PGAGI + Toingg | Bangalore (ON-SITE)

About Us

PGAGI is an AI-native studio building AI transformation systems and products for modern businesses.

Toingg is our AI communication OS focused on voice + text AI systems that drive measurable business outcomes.

We are currently at a high-growth stage:

• PGAGI is growing rapidly and expanding from mid-market clients into enterprise, government, and public-sector opportunities.
• Toingg is gaining strong traction, currently at ~$12K ARR with a growing pipeline capable of adding significant recurring revenue in the coming months.
• We are building in one of the fastest-moving industries globally — AI products, voice AI, automation, and AI-native communication systems.

We are now looking for one exceptionally sharp individual to work directly with the founder in the Founder’s Office.

Role Overview

This is not a conventional operations role.

As part of the Founder’s Office, you will work closely with the founder across multiple high-impact business functions, helping the company scale faster while creating structure and execution clarity.

You will operate at the intersection of:

• Business strategy
• Sales execution
• Enterprise growth
• AI-native operations
• Internal systems
• Client coordination
• Content and distribution

This role is designed for someone who thrives in high-speed environments, learns quickly, takes ownership naturally, and enjoys solving complex operational and strategic problems.

Key Responsibilities

Business & Founder Support

• Work directly with the founder on strategic initiatives and daily execution
• Assist in decision-making, research, follow-ups, and execution management
• Help prioritize opportunities and ensure operational momentum

Sales & Enterprise Growth

• Support enterprise deal execution and pipeline management
• Coordinate with potential clients, partners, and stakeholders
• Assist in government and public-sector opportunity tracking

Operations & Systems

• Build and improve internal systems and workflows
• Create operational structure across fast-moving teams
• Use AI tools to automate and optimize workflows wherever possible

AI-Native Workflow Management

• Implement and manage AI-assisted systems across departments
• Explore tools, automations, and integrations to improve execution speed
• Help scale internal productivity using AI

Client Communication & Execution

• Manage communication follow-ups and execution tracking
• Coordinate across internal teams and external stakeholders
• Ensure projects move smoothly without operational bottlenecks

Content & Distribution

• Assist with social media growth and distribution initiatives
• Support content operations and audience expansion strategies
• Contribute to scaling AI-driven content systems

Who We’re Looking For

We are looking for someone who is:

• High-agency and ownership-driven
• Extremely fast in execution
• Proactive without requiring constant supervision
• Comfortable working directly with founders
• Strong in communication and coordination
• Curious about startups, business, sales, and growth
• Comfortable balancing strategy with execution
• AI-native and comfortable using modern AI tools
• Hungry to build meaningful long-term outcomes

You do not need to know everything on Day 1.

But you must be capable of learning quickly, adapting fast, and operating with urgency.

Preferred Qualifications

Bonus points if you have:

• Prior Founder’s Office experience
• Startup operating experience
• Experience using AI tools and automation systems
• Exposure to B2B sales or enterprise deals
• Strong understanding of social media/content distribution
• Experience building operational systems
• Ability to thrive in fast-paced founder-led environments

Why This Role Matters

We are entering a critical growth phase:

• Larger enterprise opportunities
• Government and public-sector expansion
• AI communication systems scaling rapidly
• Internal AI infrastructure evolving quickly

There are significant opportunities ahead — but also increasing complexity.

We need someone who can help create order from chaos, improve execution velocity, and scale operations alongside the founder.

Compensation & Growth

What You’ll Get

• Fixed compensation
• High-performance incentives and commissions
• Direct exposure to founder-level decision-making
• Real ownership and responsibility
• Opportunity to grow into leadership roles

Long-Term Growth

This role begins with an intensive 3-month execution-focused period.

Based on performance, trust, and contribution, there is potential to:

• Move into a leadership role
• Become part of the core founding team
• Receive vested equity after 6 months

We are not looking to hire someone for “just another job.”

We are looking for someone who wants to build with us long-term.

Work Environment

Location

Bangalore (ON-SITE)

We work in a highly collaborative, fast-moving environment.

Accommodation support and basic living arrangements can also be provided for the right candidate.

Our philosophy is simple:

• Work closely
• Move fast
• Build together
• Win together

How to Apply

Send us:

• Your resume/profile
• A short note covering:
• Why this role interests you
• What you have built, operated, or executed before
• Why you believe you can work directly with a founder

We care more about ownership, execution ability, and learning speed than traditional credentials.

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Frontend Engineer in India to build the product surface for the memory platform. The seat is for an engineer with 7-10 years of experience who has internalized AI-native engineering: building with Claude Code, Codex, Cursor, Windsurf, or comparable tools as a core part of how they ship.

This role is intended for an experienced engineer with 7–10 years of Frontend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale the frontend product surface that customers interact with
• Ship features end-to-end, designing and debugging with AI coding tools as part of the core workflow
• Own component architecture, design system, and UX quality across the product
• Collaborate with the backend team on API design and data layer integration
• Contribute to the product roadmap based on customer feedback

Requirements

Must-Have

• 7-10 years of frontend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong React and TypeScript fundamentals
• Strong UI/UX engineering sensibility, ships polished customer-facing surfaces
• Comfort owning frontend systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure, developer tools, or dashboard product UI experience
• Design engineering range or strong design taste
• Open-source contributions in frontend frameworks or developer tools
• Public technical writing or conference talks on AI-native frontend engineering
• Experience with modern frontend tooling (Next.js, Tailwind, shadcn/ui, Vercel)

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.

This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale backend systems powering the memory infrastructure of the product
• Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
• Design, manage, and optimize database, storage, and retrieval systems for persistent memory
• Collaborate closely on system architecture, scalability, performance, and reliability engineering
• Contribute directly to product roadmap decisions based on real customer usage and production insights

Requirements

Must-Have

• 7–10 years of backend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong Python fundamentals
• Strong PostgreSQL or comparable relational database fundamentals
• Comfort owning systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure or developer tools product experience
• FastAPI fluency
• Open-source contributions in AI, memory, vector databases, or developer tools
• Prior experience in memory systems, RAG pipelines, or vector database engineering
• Public technical writing or conference talks on AI-native engineering practices

Marketing Intern

📍 Near Khan Market, New Delhi (On-site)

🏢 The Brand Concierge

Key Responsibilities

• Assist in planning and managing social media calendars across platforms

• Support content creation, copywriting, and ideation for social media

• Assist in developing and executing digital marketing strategies

• Work on influencer marketing campaigns, outreach, and collaborations

• Coordinate with designers and creators for timely content delivery

• Track content performance and support basic reporting

• Contribute to organic growth and engagement strategies

What You’ll Learn

• End-to-end social media and campaign execution

• Content strategy, performance tracking, and growth insights

• Influencer marketing and brand collaborations

• Exposure to luxury and premium brand marketing

Skills & Requirements

• Familiarity with Canva or similar tools

• Working knowledge of AI tools like ChatGPT, Claude, Gemini

• Strong communication and copywriting skills

• Creative and strategic thinking

• Interest in social media, branding, and digital marketing

Why Join The Brand Concierge?

• Work closely with founders and gain insight into building an agency from the ground up

• Hands-on experience with real client projects and campaigns

• Be part of a fast-growing, creative, and collaborative environment

• Exposure to premium and luxury brands across fashion, lifestyle, beauty, and home

• Opportunity for a full-time role based on performance

About The Brand Concierge

The Brand Concierge is a creative marketing agency specializing in customized, strategy-led solutions for premium and luxury brands. We work across fashion, lifestyle, beauty, home, and legacy segments to drive measurable, performance-led growth.

Our core services include social media marketing, performance marketing, influencer marketing, and branding. With a strong focus on design, communication, and strategy, we help brands build a distinct identity and a powerful digital presence.

Operations Intern

📍 Near Khan Market, New Delhi (On-site)

🏢 The Brand Concierge

Key Responsibilities

• Assist in planning and managing social media calendars across platforms

• Support content creation, copywriting, and ideation for social media

• Assist in developing and executing digital marketing strategies

• Work on influencer marketing campaigns, outreach, and collaborations

• Coordinate with designers and creators for timely content delivery

• Track content performance and support basic reporting

• Contribute to organic growth and engagement strategies

What You’ll Learn

• How agency operations and workflows are managed

• Client servicing and communication processes

• Project management and execution across campaigns

• Real-time exposure to a fast-paced agency environment

Skills & Requirements

• Proficiency in Microsoft Office (Excel, Word, PowerPoint)

• Strong organizational and multitasking skills

• Good communication and coordination abilities

• Detail-oriented and proactive mindset

• Interest in operations, project management, and agency workflows

Why Join The Brand Concierge?

• Work directly with founders and understand how an agency is built

• Hands-on experience with real client projects

• Fast-paced, creative, and collaborative work environment

• Exposure to premium and luxury brand ecosystems

• Opportunity to convert into a full-time role based on performance

About The Brand Concierge

The Brand Concierge is a creative marketing agency specializing in customized, strategy-led solutions for premium and luxury brands. We work across fashion, lifestyle, beauty, home, and legacy segments to drive measurable, performance-led growth.

Our core services include social media marketing, performance marketing, influencer marketing, and branding. With a strong focus on design, communication, and strategy, we help brands build a distinct identity and a powerful digital presence.

Software Engineer

Position Responsibilities

You will primarily execute within defined frameworks and grow your independent scope over time. The following reflects what you will own and contribute to:

Build & Integrate

• Build and maintain AI-enabled workflows, platform integrations, and internal tools using PHP, JavaScript, Workato, and Web Services
• Develop prototypes and proofs of concept; contribute to production deployments under senior guidance
• Implement and test integrations between Deltek's support platforms and internal data systems.

Analyse & Solve

• Break down defined problems into actionable tasks; identify risks, dependencies, and edge cases before they surface in production
• Troubleshoot complex issues across the full stack and document root cause findings clearly
• Investigate stakeholder-reported issues to identify whether the problem is technical, process-related, or both.

Operate & Improve

• Follow established governance, architecture, and deployment processes; raise improvement suggestions through proper channels
• Write and maintain documentation for systems, workflows, business rules, and solution designs
• Participate actively in sprint ceremonies; manage your own tasks and flag blockers early
• Demonstrate continuous learning in AI, automation, and integration technologies — this space moves fast and curiosity is part of the job.

Nice-to-Have Skills

The following are not required for the role, but candidates with depth in any of these areas will stand out. Listed in rough order of relevance to this team's current work:

Oracle Service Cloud

Workato / iPaaS

Salesforce

Gainsight

AI / LLM integration

Snowflake

Microsoft Power BI

Microsoft Power Apps

Cloud-native development

Experience with AI tools (GitHub Copilot, LLM APIs, automation agents) used in an operational or product context — not just personal experimentation — is a genuine plus for this team.

Qualifications

• Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. Equivalent practical experience considered.
• Experience: 2–4 years of hands-on experience in software engineering, systems integration, or a closely related field. Internship and co-op experience counts if it involved real production systems.
• Coding: Demonstrable PHP and/or JavaScript experience — a portfolio, GitHub profile, or code sample you can speak to will strengthen your application.
• Collaboration model: Comfortable working remotely with distributed teams. The role requires regular overlap with US East/Central time zones (approximately 2:00 PM – 11:00 PM IST for at least part of the week).
• Language: Strong written and spoken English is essential — much of the collaboration with stakeholders and senior engineers happens asynchronously in writing.

Job Role: AI Generalist

Experience Level: 2+ Years

Location: Bangalore, Karnataka (On-site).

We are looking for someone with strong hands-on knowledge and up to-date exposure to AI tools such as Gemini, Flow, Kling, Runway, and other emerging platforms in the generative video space. The candidate should be comfortable experimenting across tools and selecting the right workflows based on project requirements.

In addition, the candidate should have solid working knowledge of After Effects, Premiere Pro, and Photoshop for editing, compositing, and refining AI-generated outputs. Beyond tools, the person should have a good creative sense AI video generation of editing, including:

● Understanding of pacing, transitions, and storytelling for short-form content

● Ability to bring fresh ideas and visual approaches to AI-generated videos

● Strong problem-solving mindset when dealing with tool limitations or inconsistencies

● Interest in continuously exploring and adapting to the latest AI technologies

Given the nature of our recent work, the candidate should also:

● Be comfortable working in a fast-paced, iterative environment

● Handle multiple variations and prompt-based outputs efficiently

● Have a strong eye for visual quality, motion realism, and overall polish

● Be adaptable and quick in learning and implementing new tools/workflows

Additionally, the person should be proactive, self-driven, and able to manage tight timelines effectively

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Senior AI/ML Architect (Generative AI Focus)

Key points:

•Immediate joiner

•Gen AI

•Lead

•RAG

•Bangalore location

•All 5 days office

•Customer round

Job Summary: We are seeking an accomplished Senior AI/ML Architect with 15+ years of experience to lead our AI initiatives with specialization in Generative AI, Agentic AI, and Large Language Models. The ideal candidate will possess deep expertise in architecting complex AI systems incorporating RAG pipelines, efficient embeddings, document processing, and autonomous agent frameworks., leading technical teams, and hiring top-tier talent to drive innovation. The candidate should also demonstrate strong expertise in code quality, evaluation methodologies, and defect management throughout the AI/ML development lifecycle.

Key Responsibilities:

AI/ML Solution Architecture & Development:

•Design and implement end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with business objectives.

•Design and implement end-to-end RAG (Retrieval-Augmented Generation) systems with optimized knowledge retrieval

•Architect Agentic AI workflows using frameworks like LangChain, LlamaIndex, and AutoGen

•Develop multi-agent systems with specialized roles and orchestration capabilities

•Implement dynamic routing and decision-making logic for agent networks

•Architect and implement RAG (Retrieval-Augmented Generation) systems for knowledge-intensive applications

•Design and optimize document processing pipelines including advanced chunking strategies and metadata extraction

•Develop and fine-tune LLMs for domain-specific applications

•Architect and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.

•Lead the integration of Generative AI (GenAI) technologies into existing workflows to enhance automation and decision-making.

Technical Leadership & Innovation:

•Provide technical guidance and mentorship to AI/ML teams, fostering a culture of innovation and excellence.

•Stay abreast of the latest advancements in AI/ML and GenAI, evaluating and adopting cutting-edge technologies as appropriate.

•Collaborate with cross-functional teams to align AI initiatives with business goals.

Code Quality & Engineering Best Practices:

•Enforce high standards of code quality, maintainability, and scalability in AI/ML implementations.

•Conduct and oversee code reviews to ensure adherence to best practices and architectural guidelines.

•Implement robust testing frameworks, including unit tests, integration tests, and system tests, to validate AI models and pipelines.

•Lead the evaluation and selection of appropriate embedding models for specific use cases

•Design optimal chunking strategies for different document types (PDFs, HTML, plain text)

•Establish best practices for vector database implementation and optimization

•Mentor junior engineers in RAG implementation and document processing techniques

Evaluation Methods & Performance Metrics:

•Define and implement comprehensive evaluation methodologies to assess model performance ensuring all metrics met.

•Monitor and analyze model performance during pre-release testing and post-release phases to identify and address defects.

•Establish metrics and KPIs to measure the effectiveness and reliability of AI solutions in production.

Defect Management & Post-Release Monitoring:

•Develop strategies for defect prevention, detection, and resolution throughout the AI/ML development lifecycle.

•Lead root cause analysis for post-release defects and implement corrective actions to prevent recurrence.

•Work closely with DevOps and QA teams to ensure seamless deployment and monitoring of AI models in production.

Hiring & Team Development:

•Lead the recruitment process for AI/ML talent, identifying and hiring skilled professionals to build high-performing teams.

•Develop and implement strategies for team growth, including training programs and career development plans.

Required Skills & Qualifications:

•Technical Expertise:

•15+ years of experience in AI/ML, with a strong focus on architecting and deploying AI solutions.

•Deep knowledge of machine learning, deep learning, and NLP, with proficiency in Python and frameworks like PyTorch, TensorFlow, or Hugging Face.

•Experience with cloud platforms and MLOps practices for model deployment and monitoring.

•GenAI Experience:

•Hands-on experience with LLMs, RAG pipelines, and AI agent frameworks.

•Familiarity with vector databases (e.g., Melvis, Pinecone, Weaviate) and graph databases.

•Code Quality & Testing:

•Strong understanding of software engineering principles, including code quality, testing, and CI/CD pipelines.

•Experience with testing frameworks and methodologies for AI/ML models.

•Evaluation & Defect Management:

•Proven ability to define and implement evaluation metrics and performance monitoring systems.

•Experience in defect management and root cause analysis for AI/ML systems.

•Leadership & Hiring:

•Proven ability to lead technical teams and hire top AI/ML talent.

•Strong communication and collaboration skills to work with stakeholders at all levels.

•Education:

•Bachelor’s/Master’s/PhD in Computer Science, Data Science, or a related field.

Preferred Qualifications:

•Experience in industries such as healthcare, finance, or manufacturing, where AI/ML solutions have been successfully deployed.

•Publications or contributions to the AI/ML community, such as research papers, open-source projects, or conference presentations.

Why Join Us?

•Opportunity to work on cutting-edge AI/ML and GenAI projects with a global impact.

•Collaborative and innovative work environment with a focus on

AI/ML Engineer (Generative AI Focus) Lead

Key points:

•Immediate joiner

•Gen AI

•Lead

•RAG

•Bangalore location

•All 5 days office

•Customer round

Job Summary: We are seeking a skilled AI/ML Engineer with 7-10 years of experience in AI/ML technologies, including hands-on expertise to develop and implement Generative AI and Agentic AI solutions. The ideal candidate will have hands-on experience with RAG systems, embedding models, document processing, and basic agent frameworks and NLP. This role involves working closely with senior architects and cross-functional teams to build scalable AI systems and integrate GenAI capabilities into our products.

Key Responsibilities:

AI/ML Development & Implementation:

•Design, develop, and deploy machine learning models for various applications, ensuring performance, scalability, and reliability

•Implement and optimize AI pipelines, including data preprocessing, feature engineering, model training, and evaluation

•Work on integrating Generative AI (GenAI) technologies, such as Large Language Models (LLMs), into production workflows

•Implement RAG systems with efficient retrieval components

•Develop document processing pipelines including chunking and metadata extraction

•Apply embedding models for semantic search applications

•Build and maintain vector databases for knowledge retrieval

Code Quality & Engineering Practices:

•Write clean, maintainable, and efficient code following best practices

•Participate in code reviews to ensure adherence to coding standards

•Implement unit tests and integration tests for AI models and components

Evaluation & Testing:

•Develop and execute test cases for AI models during black-box testing phases

•Monitor model performance using appropriate metrics and KPIs

•Assist in troubleshooting and debugging AI models in production

GenAI & LLM Expertise:

•Work with fine-tuning and optimizing LLMs for specific use cases

•Assist in developing AI agents using frameworks like LangChain or LlamaIndex

•Gain experience with vector databases and embedding models

Collaboration & Continuous Learning:

•Work closely with data scientists, software engineers, and product teams

•Stay updated with the latest advancements in AI/ML and GenAI

•Contribute to knowledge sharing within the team

Required Skills & Qualifications:

•7-10 years of hands-on experience in AI/ML development

•Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar)

•Understanding of machine learning, deep learning, and NLP concepts

•Familiarity with cloud platforms.

•Basic understanding of GenAI concepts and technologies

•Bachelor's/Master's in Computer Science, Data Science, or related field

Preferred Qualifications:

•Experience with any aspect of the MLOps lifecycle

•Exposure to testing AI models and pipelines

•Contributions to open-source projects or personal AI/ML projects

•Strong problem-solving and analytical skills

Why Join Us?

•Opportunity to work on cutting-edge AI/ML projects with mentorship from senior architects

•Collaborative environment that fosters learning and growth continuous learning and growth.

Job Description:

As a QA Associate at Binocs, you will play a pivotal role in ensuring the highest quality standards for our software products. With a direct reporting line to the QA Lead, you will be involved in designing, implementing, and executing test plans to identify software issues. This role is ideal for someone with a strong technical background in engineering, experience in fintech or finance software companies, and a passion for quality assurance and detail-oriented testing.

Key Responsibilities:

• Test Plan Development: Create comprehensive and well-structured test plans and test cases based on product specifications.
• Quality Assurance: Execute test cases (manual or automated) and analyze results to ensure software quality.
• Issue Documentation: Document and track bugs, as well as collaborate with the development team to ensure timely resolution.
• Process Improvement: Identify, recommend, and implement improvements in testing processes to enhance efficiency and quality.
• Software Validation: Validate that product features meet requirement specifications and are free of defects.
• Cross-functional Collaboration: Work closely with the product management and development teams to understand product vision and deliver software that aligns with customer and market needs.

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 2+ years of experience in quality assurance, preferably within fintech or finance software companies.
• Familiarity with software QA methodologies, tools, and processes.
• Experience in writing clear, concise, and comprehensive test plans and test cases.
• Hands-on experience with both white box and black box testing.
• Strong knowledge of software QA metrics, including bug tracking and reporting tools.
• Excellent analytical skills and attention to detail.
• Effective communication skills and the ability to work in a fast-paced environment.

Benefits:

Joining Binocs means being part of a passionate team dedicated to transforming the loan management landscape. We offer a dynamic, innovative environment where your work directly contributes to our vision of efficient, transparent, and data-driven loan management. Our competitive compensation package, including equity, reflects our commitment to attracting and retaining top talent.

About Us:

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

• Requirements:
• ·       You have 8+ years of professional software engineering experience with a proven track record of shipping high-impact, scalable products.
• ·       You have architectural-level expertise in a modern programming language (TypeScript/JavaScript, Python, Go, or Java).
• ·       You have deep experience designing, building, and operating distributed systems in a cloud environment (AWS or GCP).
• ·       You are proficient in building and consuming web APIs (REST/GraphQL) and designing robust systems for caching (Redis) and asynchronous processing (message queues).
• ·       You have advanced expertise in designing, optimizing, and scaling SQL/NoSQL databases for high-traffic applications.
• ·       You are well-versed in CI/CD pipelines, Docker, and infrastructure-as-code (e.g., Terraform).
• ·       You thrive in ambiguity and can define technical roadmaps from vague business goals.
• ·       You communicate complex trade-offs clearly to both technical and executive stakeholders.
• ·       You champion operational excellence and influence how teams build, deploy, and maintain software.
• ·       Bonus skills: Advanced database optimization, distributed systems design, infrastructure-as-code expertise, or prompt engineering / LLM tooling experience.
• 
  
• Job Description:
• Architect, own, and deliver complex, multi-quarter projects end-to-end, setting the technical vision for your domain.
• Identify and address architectural gaps, scale critical systems, and drive continuous improvements in performance, reliability, and scalability.
• Collaborate closely with product, design, and business leaders to translate ambiguous business goals into clear technical roadmaps and execution strategies.
• Establish and champion best practices for operational excellence — including monitoring, alerting, on-call preparedness, and incident response.
• Mentor and guide L1/L2 engineers, lead through high-quality design documents and code reviews, and elevate engineering standards across the organization.
• Work hands-on with our complete stack:
• Frontend: React/Next.js + TypeScript
• Backend: Node.js / FastAPI / Go
• Databases: Postgres, Redis (SQL/NoSQL)
• DevOps & CI/CD: Docker, GitHub Actions, AWS/GCP, Terraform, Kubernetes
• Observability & Monitoring: OpenTelemetry, Grafana/Prometheus, Sentry
• AI-native productivity: Cursor for daily development, copilots, and AI codegen tools
• Measure impact through:
• Outcome: Ownership of key product-area outcomes that drive top-level company metrics.
• Quality: Architectural improvements that enhance reliability, reduce defects, and accelerate delivery.
• Speed: Ability to unblock teams and drive progress on complex initiatives efficiently.
• Technical Leadership: Setting direction, defining standards, and influencing the broader engineering organization.

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Position: Pre-sales Consultant

Client: On Payroll of Vivanet

Work from Office: Pashan

Role Description:

This is a full-time on-site role as a Presales Consultant, located in Pune City. The role involves collaborating with sales, technical teams, and clients to design tailored solutions that meet specific customer requirements. The primary responsibilities would include -

• Partnering with Sales teams to qualify and drive opportunities

• Deliver impactful product demos, presentations, and solution discussions

• Conduct Technical Proof of Concepts (POCs) and validation activities

• Support RFP/RFI responses with strong technical inputs

• Participate in account plan and ideation workshops

• Assist in partner enablement and product training

• Work on BOM creation and solution design support

• Represent the organization at tech events, conferences, and exhibitions

• Excellent communication and presentation skills at CXO

• Ability to adapt quickly to evolving technologies

• Telecom, AI Infrastructure and Data Center related educational background (preferred)

Work from office/Hybrid model

Qualifications

•Domain experience in Data, infrastructure, Semicon & Telecom. Overall 6+ years of experience.

•Strong technical knowledge and understanding of software development, IT solutions, and AI-driven technologies

•Excellent communication, presentation, and relationship-building skills

•Proficiency in analyzing business requirements and creating tailored technical solutions

•Experience with document preparation, including proposals, RFP responses, and reports

•Ability to work collaboratively with cross-functional teams and manage client expectations

•Bachelor’s degree in Computer Science, Information Technology, Business, or a related field

•Prior experience in presales, business analysis, or a similar role is advantageous

•Problem-solving mindset and adaptability to evolving technologies

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Experience Level

This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering 

Requirements

What You’ll Bring 

• 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

Job Summary:

As an AI Developer, you will build the AI-powered components of our solutions — LLM-based extraction, classification, summarisation, NLP, OCR pipelines, RAG patterns, and intelligent automation. You will

partner with the Business Analyst(s) to deeply understand the business problem, with the AI Architect to align on the technical design and reusable framework, and with our Automation Developers to integrate

your AI components into orchestration engines, configurable web interfaces, and end-to-end automated workflows.

Responsibilities:

• Partner with the Business Analyst from the earliest stages of every engagement to understand the business problem, the data flow, the upstream triggers, and the downstream consequences before writing a single line of code.
• Work with the AI Architect to align on the solution design, the reusable framework to be extended, the cloud-native architecture, and the LLM/NLP/OCR approach for each engagement.
• Develop AI-powered components for solutions across Finance & Accounting use cases — invoice and document extraction, contract abstraction, anomaly detection, classification, summarization, conversational interfaces, RAG-based knowledge retrieval and many more.
• Build cloud-native solutions on Microsoft Azure — leveraging Azure OpenAI, Azure AI Services (Document Intelligence, Vision, Language), Azure Functions, Azure Storage, Azure SQL, Service Bus, and Azure API Management — ensuring every solution is scalable and secure by design. You will use Claude and Microsoft 365 ecosystem also depending on the business requirements.
• Implement enterprise-grade logging across every system and user activity, so that every action in production is traceable, observable, and auditable.
• Build solutions that are highly configurable — no static or hard-coded values — with parameters such as processing volume, run schedule, batch size, model temperature, confidence thresholds, and human-in-the-loop split exposed for end-user control.
• Develop and continuously improve a library of reusable LLM components — prompt templates, RAG patterns, document chunking, evaluation harnesses, guardrails, and output parsers — so that no new AI module is written from scratch when an existing one can be extended.
• Collaborate with Automation Developers to ensure every AI solution plugs cleanly into the COE’s orchestration engine, the configurable web interface that shows real-time progress to end users, and the broader automation flow.
• Treat every business problem as an opportunity to ask whether the underlying process can be improved before reaching for an AI hammer — and raise this constructively with the Business Analyst, AI Architect, and stakeholders when you see it.
• Implement responsible AI practices — prompt injection defence, output validation, hallucination grounding, PII handling, content filters, and access controls — because we work with sensitive financial and contractual data.
• Build evaluation harnesses and test sets for every AI component you ship — measuring accuracy, precision, recall, latency, cost, and drift over time.
• Write clean, well-documented, and well-tested code in Python and / or .NET / C#, with appropriate unit tests, integration tests, and CI/CD pipelines on Azure DevOps.
• Support UAT and production cutover alongside the Business Analyst and Automation Developers, debug production issues quickly, and contribute to post-go-live hypercare

Must Have Skills:

• 5 to 10 years of overall software development experience, with a meaningful portion of the last
• 2–3 years dedicated to building production AI / GenAI / NLP / OCR solutions.
• Hands-on production experience with Large Language Model APIs — Anthropic Claude, OpenAI /
• Azure OpenAI, or equivalent — including prompt engineering, structured output extraction, function / tool calling, and streaming.
• Working experience with Retrieval-Augmented Generation (RAG) patterns — embeddings, vector stores (Azure AI Search, Pinecone, FAISS, or equivalent), chunking strategies, hybrid search, and retrieval evaluation.
• Hands-on experience with at least one OCR / Document Intelligence platform — Azure AI Document Intelligence (Form Recognizer), AWS Textract, Google Document AI, or equivalent — including post-OCR LLM-based extraction and validation.
• Strong programming skills in Python and / or .NET / C#, with practical experience writing production-grade, maintainable, well-tested code.
• Hands-on experience building cloud-native applications on Microsoft Azure — Azure Functions, AKS, Azure Storage, Azure SQL, Cosmos DB, Service Bus, Event Grid, Azure API Management — with a strong appreciation for scalability and security.
• Working understanding of microservice architecture, RESTful APIs, asynchronous messaging, and event-driven patterns.
• Demonstrable experience implementing structured logging, observability, and monitoring — Azure Monitor, Application Insights, Log Analytics, or equivalent — in production systems.
• Experience designing and implementing configurable systems — externalized configuration, feature flags, parameterised workflows — so end users can adjust operational metrics without a developer touching code.
• Experience integrating AI components into orchestration engines and workflow platforms (e.g. Azure Logic Apps, Durable Functions, Power Automate, Camunda, Airflow, or RPA platforms such as UiPath / Power Automate Desktop / Blue Prism).
• Comfort building or contributing to web interfaces (React, Blazor, or equivalent) that display progress, exceptions, and end-user controls in real time. This is not a mandatory requirement but will be an advantage.
• Strong understanding of responsible AI — prompt injection, hallucination, grounding, PII handling, evaluation, and guardrails — with a track record of applying these in production code.
• Experience with CI/CD on Azure DevOps or GitHub Actions, Git-based workflows, and basic DevOps / MLOps / LLMOps practices.
• Working knowledge of Agile / Scrum delivery.

Good to Have Skills:

• Exposure to or genuine interest in Finance & Accounting business processes is a strong plus. Prior experience in real estate, fintech, banking, shared services, or finance transformation.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Azure Developer Associate, or equivalent.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.

Why choose us?

Bits in Glass is a leading software consulting firm specializing in innovative data solutions and enterprise applications.

• Industry Leader:

1. Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.
2. Offices across three locations in India: Pune, Hyderabad & Chandigarh.
3. Specialized Pega partner since 2017, delivering Pega solutions with deep industry expertise and experience.
4. Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.
5. Elite Appian partner since 2008, delivering Appian solutions with deep industry expertise and experience.
6. Operating in the United States, Canada, United Kingdom, and India.
7. Dedicated global Pega CoE to support our customers and internal dev teams.
8. Specializes in Databricks, AI, and cloud-based data engineering to help companies transition from manual to automated workflows.

• Employee Benefits:

1. Career Growth: Opportunities for career advancement and professional development.
2. Challenging Projects: Work on innovative, cutting-edge projects that make a global impact.
3. Global Exposure: Collaborate with international teams and clients to broaden your professional network.
4. Flexible Work Arrangements: Support for work-life balance through flexible working conditions.
5. Comprehensive Benefits: Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
6. Learning Opportunities- Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.

• Company Culture:

1. Collaborative Environment: Emphasizes teamwork, innovation, and knowledge sharing.
2. Inclusive Workplace: Values diversity and fosters an inclusive environment where all ideas are respected.
3. Continuous Learning: Encourages professional development through ongoing learning opportunities and certifications.

• Core Values:

1. Integrity: Commitment to ethical practices and transparency in all business dealings.
2. Excellence: Strive for the highest standards in everything we do.
3. Client-Centric Approach:

About SkillSecureX

SkillSecureX is a technology-driven platform focused on providing practical learning experiences and industry-oriented opportunities in Artificial Intelligence, Machine Learning, Data Science, Web Development, and emerging technologies. We help students and freshers gain real-world exposure through hands-on projects, mentorship, and internship programs.

About the Internship

We are hiring motivated and enthusiastic candidates for the role of Artificial Intelligence & Machine Learning Intern. This internship is designed for students, freshers, and aspiring AI professionals who want to gain practical experience in AI technologies, Machine Learning concepts, and real-world project development.

Interns will work on practical assignments, AI-based applications, and industry-relevant projects while learning modern tools and technologies used in the AI and ML domain.

Roles & Responsibilities

• Assist in developing AI and Machine Learning models

• Work on data preprocessing and model training

• Analyze datasets and generate insights

• Support research and development activities related to AI solutions

• Work with Python libraries and AI frameworks

• Participate in project discussions and collaborative tasks

• Test, evaluate, and improve model performance

Required Skills

• Basic understanding of Python programming

• Interest in Artificial Intelligence and Machine Learning

• Familiarity with data analysis or statistics concepts is beneficial

• Knowledge of libraries such as NumPy, Pandas, or Scikit-learn is a plus

• Strong analytical and problem-solving skills

• Willingness to learn and work on practical projects

Eligibility

• Students pursuing graduation or post-graduation

• Freshers interested in AI and Machine Learning

• Candidates looking to gain practical industry exposure

Perks & Benefits

• Internship Completion Certificate

• Hands-on experience on practical AI projects

• Flexible remote working environment

• Mentorship and industry-oriented learning

• Opportunity to strengthen technical and professional skills

About SkillSecureX

SkillSecureX is a technology-focused platform dedicated to providing practical learning opportunities and industry-oriented exposure in Data Science, Artificial Intelligence, Machine Learning, Web Development, and emerging technologies. Our goal is to help students and freshers gain real-world experience through project-based internships and hands-on learning.

About the Internship

We are looking for enthusiastic and motivated candidates for the role of Data Science with AI Intern. This internship is designed for students, freshers, and aspiring data professionals who want to build practical skills in Data Science, Artificial Intelligence, data analysis, and machine learning technologies.

Interns will work on real-world datasets, AI-based projects, and practical assignments while learning industry-relevant tools and workflows under mentorship.

Roles & Responsibilities

• Work on data collection, cleaning, and preprocessing

• Analyze datasets and generate meaningful insights

• Assist in developing AI and Machine Learning models

• Create reports, dashboards, and data visualizations

• Work with Python libraries and data science tools

• Participate in project discussions and team collaboration

• Support research and development activities related to AI solutions

Required Skills

• Basic understanding of Python programming

• Interest in Data Science and Artificial Intelligence

• Familiarity with Excel, statistics, or data analysis concepts is a plus

• Knowledge of Machine Learning basics is beneficial

• Strong analytical and problem-solving skills

• Willingness to learn and work on practical projects

Eligibility

• Students pursuing graduation or post-graduation

• Freshers interested in Data Science and AI

• Candidates looking to gain practical industry experience

Perks & Benefits

• Internship Completion Certificate

• Hands-on experience on practical projects

• Flexible remote working environment

• Mentorship and industry-oriented learning

• Opportunity to strengthen resume and technical skills

About SkillSecureX

SkillSecureX is an emerging technology-focused platform dedicated to providing practical learning experiences and industry-oriented opportunities in Web Development, Artificial Intelligence, Machine Learning, Data Science, and modern software technologies. We work on innovative projects and help students and freshers gain real-world exposure through hands-on training and project-based internships.

About the Internship

We are looking for passionate and motivated candidates for the role of Full Stack Web Developer with AI Intern. This internship is ideal for students, freshers, and aspiring developers who want to gain practical experience in full stack development and AI-powered web applications.

Interns will work on real-world projects, modern development technologies, frontend and backend systems, databases, APIs, and AI integrations under mentorship and guidance.

Roles & Responsibilities

• Develop responsive and user-friendly web applications

• Work on frontend and backend development tasks

• Build and integrate REST APIs

• Assist in AI-powered web application development

• Debug, test, and optimize applications

• Collaborate with mentors and project teams

• Participate in project discussions and development activities

Required Skills

• Basic understanding of HTML, CSS, and JavaScript

• Interest in React.js, Node.js, or Full Stack Development

• Knowledge of databases like MongoDB or MySQL is a plus

• Familiarity with Git/GitHub is beneficial

• Strong willingness to learn and work on practical projects

Eligibility

• Students pursuing graduation or post-graduation

• Freshers interested in Full Stack Development and AI

• Candidates looking to gain practical industry experience

Perks & Benefits

• Internship Completion Certificate

• Hands-on experience on live projects

• Flexible remote working environment

• Mentorship and practical learning exposure

• Opportunity to improve technical and professional skills

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

• Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
• STT and TTS configuration, voice tuning, language and accent handling
• Turn-taking, barge-in, end-of-speech detection, latency budgets
• Driving end-to-end voice latency below 700ms (we currently target 600ms)
• Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
• Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

• BAA-compliant hosting architecture (AWS-based, BAA in place)
• PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
• Encryption in transit and at rest, audit logging, 7-year retention compliance
• Access controls, RBAC, kill-switch infrastructure
• HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

• LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
• Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
• Multi-turn conversation state management
• Multi-topic call handling and structured task generation
• Safety-critical keyword detection and escalation routing

Integrations

• EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
• Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
• Calendar integration (Google Calendar, Microsoft 365, Cal.com)
• SMS and email gateways (Twilio, SendGrid)
• Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

• Per-practice configuration loading (specialty profile + practice profile)
• Per-tenant isolation, data segregation
• Specialty-specific intake schemas, triage rules, safety keywords
• Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

• 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
• Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
• HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
• AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
• AWS Comprehend Medical or equivalent PHI detection experience.
• Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
• Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
• LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
• Python or TypeScript fluency. Production code, not scripts.
• API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

• Healthcare domain experience (EHRs, clinical workflows, medical terminology)
• Prior auth or eligibility verification workflow experience
• Multi-tenant SaaS architecture experience
• SOC 2 audit experience
• Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
• Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
• Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

• Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
• Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
• Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
• You sign a BAA with us. This is non-negotiable due to the nature of the work.
• You are eligible for future equity grants as we formalize the team structure.
• Direct working relationship with our CTO (London-based) and founders (NYC and India).
• Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

• Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
• Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
• "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
• Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

About Web Infomatrix

Web Infomatrix is a fast-growing digital marketing agency specializing in SEO, AI-powered search optimization, performance marketing, web solutions, and online brand growth strategies. We help businesses improve their online visibility, generate qualified leads, and achieve measurable digital success through data-driven marketing solutions.

Our team works with the latest AI-based SEO technologies, advanced search optimization methods, and performance-focused marketing strategies to deliver impactful results across industries.

Internship Role

We are hiring enthusiastic and motivated candidates for a Full-Time, On-Site AI-Based SEO Internship at our West Delhi office.

As an SEO Intern, you will gain practical exposure to modern SEO strategies, AI-powered optimization techniques, and advanced search engine marketing practices while working on real client projects.

Key Responsibilities

-Conduct keyword research and competitor analysis

-Perform technical and on-page SEO audits

-Implement on-page SEO optimization strategies

-Work on link-building and off-page SEO campaigns

-Analyze website traffic and web analytics reports

-Optimize content using AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and AIO strategies

-Use AI-powered SEO tools for performance improvement and automation

-Collaborate with the SEO and content team to improve website rankings and visibility

Required Skills & Qualifications

-Basic understanding of SEO and digital marketing concepts

-Knowledge of keyword research and on-page optimization

-Familiarity with SEO audit tools and web analytics

-Understanding of link-building strategies

-Interest in AI-based SEO tools and automation

-Strong analytical and problem-solving abilities

-Good written and verbal communication skills

-Ability to work effectively in a team environment

-Pursuing or completed a degree in Digital Marketing, Marketing, IT, or a related field

Location

B-68, 40 Feet Rd, Market, Chanakya Place, New Delhi, Delhi – 110059

Software Development Engineer (SDE) – Mobile / Full-Stack Developer (IoT & AI)

Company: PGAGI Consultancy Private Limited 

Industry: AI & Emerging Technology Startup 

Role Type: Full-Time 

Work Mode: Work From Office 

Experience Required: Minimum 2 Years 

Location: Bangalore

About PGAGI

PGAGI Consultancy Private Limited is an AI-driven technology startup focused on building intelligent, scalable, and real-world digital solutions across AI & next-generation software systems.

We are looking for highly driven engineers who enjoy solving practical problems, building production-ready systems, and working across multiple technologies in a startup environment.

About the Role

We are looking for an SDE with strong React Native mobile development experience, full-stack development knowledge, and a clear background in IoT-based systems.

The candidate should have hands-on experience working with mobile applications that interact with IoT devices, sensors, hardware systems, real-time device data, or cloud-based IoT platforms.

Knowledge of AI-based systems, AI integrations, automation workflows, LLMs, or AI-powered product features will be considered a strong advantage.

The ideal candidate should also have basic team-leading capability, ownership mindset, and the ability to manage technical execution with a small development team.

Key Responsibilities

1. Develop and maintain mobile applications using React Native.
2. Build scalable, reusable, and production-ready mobile app components.
3. Integrate mobile applications with backend APIs, databases, and cloud services.
4. Work on IoT-based integrations, including:

• Device-to-app communication
• Sensor data handling
• Real-time device monitoring
• MQTT / WebSocket-based communication
• Hardware-software interactionIoT dashboard or control system integration

5.Collaborate with hardware, backend, frontend, AI, and product teams.

6.Work on AI-enabled features where required, such as:

• AI-based automation
• Data analysis
• AI alerts or recommendations
• LLM/API integrations
• Smart monitoring or decision-support systems

7.Lead small development tasks and guide junior developers.

8.Review code, debug issues, and improve application performance.

9.Participate in architecture planning and technical decision-making.

10.Ensure proper documentation of mobile flows, APIs, IoT integrations, and system logic.

Required Skills

• Minimum 2 years of experience in React Native mobile development.
• Strong knowledge of JavaScript / TypeScript.
• Experience in mobile app development for Android and/or iOS.
• Hands-on exposure to IoT systems or IoT-enabled applications.
• Experience working with IoT device data, sensors, MQTT, BLE, Wi-Fi modules, embedded systems, or real-time hardware communication.
• Experience with REST APIs, WebSockets, and real-time data handling.
• Basic full-stack development knowledge using Node.js, Python, FastAPI, Express.js, or similar backend technologies.
• Database knowledge such as MongoDB, PostgreSQL, Firebase, or similar.
• Understanding of Git, debugging, deployment, and development workflows.
• Ability to lead tasks, coordinate with team members, and take ownership of delivery.

AI Knowledge — Strong Priority

Candidates with knowledge or experience in the following will be preferred:

• AI-powered applications
• LLM API integrations
• OpenAI / Gemini / Claude APIs
• AI automation workflows
• AI-based monitoring or analytics
• Predictive alerts or recommendation systems
• AI agents or intelligent assistants
• Prompting and AI workflow design

Good to Have

• Experience with AWS IoT, Azure IoT, Google Cloud IoT, Firebase, or similar platforms.
• Experience with MQTT brokers, BLE, embedded hardware, Raspberry Pi, Arduino, ESP32, or similar devices.
• Native Android/iOS development knowledge.
• Experience building dashboards for IoT monitoring or device control.
• Prior experience in AI + IoT projects.
• Previous experience leading a small development team.

Candidate Expectations

• Must be comfortable working from the office.
• Should have strong ownership and problem-solving ability.
• Should be able to work across mobile, backend, IoT, and AI-related modules.
• Should communicate clearly with both technical and non-technical teams.
• Should be disciplined with timelines, documentation, and reporting.
• Should be capable of guiding junior developers and coordinating execution.

Why Join PGAGI?

- Opportunity to work on cutting-edge AI + IoT products.

- Fast learning and high-growth startup environment.

- Exposure to real-world intelligent systems and scalable architectures.

- High ownership and direct product impact.

- Collaborative engineering culture focused on innovation and execution.

Job Description: SDE – Mobile / Full-Stack Developer with IoT & AI Knowledge

Role: Software Development Engineer – Mobile / Full-Stack

Experience: Minimum 2 years

Work Mode: Work from Office

Employment Type: Full-time

About the Role

We are looking for an SDE with strong React Native mobile development experience, full-stack development knowledge, and a clear background in IoT-based systems.

The candidate should have hands-on experience working with mobile applications that interact with IoT devices, sensors, hardware systems, real-time device data, or cloud-based IoT platforms.

Knowledge of AI-based systems, AI integrations, automation workflows, LLMs, or AI-powered product features will be considered a strong advantage.

The ideal candidate should also have basic team-leading capability, ownership mindset, and the ability to manage technical execution with a small development team.

Key Responsibilities

• Develop and maintain mobile applications using React Native.
• Build scalable, reusable, and production-ready mobile app components.
• Integrate mobile applications with backend APIs, databases, and cloud services.
• Work on IoT-based integrations, including:
• Device-to-app communication
• Sensor data handling
• Real-time device monitoring
• MQTT / WebSocket-based communication
• Hardware-software interaction
• IoT dashboard or control system integration
• Collaborate with hardware, backend, frontend, AI, and product teams.
• Work on AI-enabled features where required, such as:
• AI-based automation
• Data analysis
• AI alerts or recommendations
• LLM/API integrations
• Smart monitoring or decision-support systems
• Lead small development tasks and guide junior developers.
• Review code, debug issues, and improve application performance.
• Participate in architecture planning and technical decision-making.
• Ensure proper documentation of mobile flows, APIs, IoT integrations, and system logic.

Required Skills

• Minimum 2 years of experience in React Native mobile development.
• Strong knowledge of JavaScript / TypeScript.
• Experience in mobile app development for Android and/or iOS.
• Hands-on exposure to IoT systems or IoT-enabled applications.
• Experience working with IoT device data, sensors, MQTT, BLE, Wi-Fi modules, embedded systems, or real-time hardware communication.
• Experience with REST APIs, WebSockets, and real-time data handling.
• Basic full-stack development knowledge using Node.js, Python, FastAPI, Express.js, or similar backend technologies.
• Database knowledge such as MongoDB, PostgreSQL, Firebase, or similar.
• Understanding of Git, debugging, deployment, and development workflows.
• Ability to lead tasks, coordinate with team members, and take ownership of delivery.

AI Knowledge — Strong Priority

Candidates with knowledge or experience in the following will be preferred:

• AI-powered applications
• LLM API integrations
• OpenAI / Gemini / Claude APIs
• AI automation workflows
• AI-based monitoring or analytics
• Computer vision or sensor-data intelligence
• Predictive alerts or recommendation systems
• AI agents or intelligent assistants
• Prompting and AI workflow design

Good to Have

• Experience with AWS IoT, Azure IoT, Google Cloud IoT, Firebase, or similar platforms.
• Experience with MQTT brokers, BLE, embedded hardware, Raspberry Pi, Arduino, ESP32, or similar devices.
• Native Android/iOS development knowledge.
• Experience building dashboards for IoT monitoring or device control.
• Prior experience in AI + IoT projects.
• Previous experience leading a small development team.

Candidate Expectations

• Must be comfortable working from office.
• Should have strong ownership and problem-solving ability.
• Should be able to work across mobile, backend, IoT, and AI-related modules.
• Should communicate clearly with both technical and non-technical teams.
• Should be disciplined with timelines, documentation, and reporting.
• Should be capable of guiding junior developers and coordinating execution.

About the Internship

LetsIntern is looking for passionate and motivated candidates for the AI & Machine Learning Internship Program. This internship is designed for students, freshers, and aspiring AI professionals who want hands-on experience working on real-world AI and Machine Learning projects.

Interns will gain exposure to practical AI workflows, data-driven problem solving, and industry-standard development practices under expert mentorship.

Roles & Responsibilities

✔ Assist in developing AI & Machine Learning models

✔ Work on real-world datasets and predictive analytics tasks

✔ Perform data preprocessing, cleaning, and visualization

✔ Support AI-based application development and testing

✔ Research and implement Machine Learning algorithms

✔ Collaborate with mentors and project teams on live tasks

✔ Prepare reports, insights, and documentation for projects

Skills & Technologies

• Python Programming

• Machine Learning Fundamentals

• Data Analysis & Visualization

• NumPy, Pandas, Matplotlib

• Deep Learning Basics

• NLP & Computer Vision (Basics)

• Model Training & Evaluation

Eligibility Criteria

✔ Students pursuing any degree (CS/IT preferred)

✔ Freshers interested in AI & ML

✔ Candidates passionate about Artificial Intelligence & Data Science

✔ Basic programming knowledge is a plus

✔ Strong willingness to learn and work on projects

What You’ll Gain

✔ Hands-on experience with AI & ML projects

✔ Live training sessions & mentorship

✔ Exposure to industry tools and workflows

✔ Internship Certificate

✔ Letter of Recommendation based on performance

✔ Opportunity to build a strong AI project portfolio

✔ Flexible & remote working environment

About the Internship

The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.

Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.

Responsibilities

• Assist in collecting, cleaning, and analyzing datasets.
• Work on data visualization and reporting tasks.
• Support machine learning and AI model development activities.
• Participate in research and implementation of AI-based solutions.
• Perform data preprocessing and feature engineering tasks.
• Collaborate with mentors and team members on project assignments.
• Test, evaluate, and improve model performance.
• Maintain project documentation and reports.

Required Skills

• Basic understanding of Python or any programming language.
• Interest in Data Science, Analytics, and AI technologies.
• Knowledge of statistics, data handling, or logical reasoning is a plus.
• Good analytical and problem-solving skills.
• Ability to learn and work collaboratively in a team environment.

Preferred Skills (Optional)

• Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
• Basic understanding of Machine Learning concepts.
• Knowledge of SQL, Excel, or data visualization tools.
• Interest in Artificial Intelligence and automation technologies.

Who Can Apply

• Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
• Freshers seeking practical exposure in Data Science and AI.
• Candidates passionate about analytics, AI, and emerging technologies.

Perks & Benefits

• Hands-on experience with real-world datasets and projects.
• Mentorship from experienced professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Flexible learning and working environment.
• Opportunity to build practical technical skills.
• Top performers may receive future opportunities based on project requirements.

About the Internship

The Nexora Group is looking for enthusiastic and passionate interns for the role of AI-Powered Full Stack Web Developer Intern. This internship is designed for students and aspiring developers who want hands-on experience in modern web technologies, AI-integrated applications, and real-world development projects.

Interns will work on live projects, collaborate with mentors, and gain practical exposure to frontend development, backend development, databases, APIs, and AI-powered web features.

Responsibilities

• Assist in developing responsive and user-friendly web applications.
• Work on frontend technologies such as HTML, CSS, JavaScript, and modern frameworks.
• Support backend development and API integration.
• Participate in database management and web application deployment.
• Learn and implement AI-powered features in web applications.
• Collaborate with mentors and team members on project tasks.
• Debug, test, and improve application performance.
• Maintain documentation for assigned tasks and projects.

Required Skills

• Basic understanding of web development concepts.
• Familiarity with HTML, CSS, JavaScript, or any programming language.
• Interest in Full Stack Development and AI technologies.
• Problem-solving and logical thinking skills.
• Good communication and teamwork abilities.
• Willingness to learn new technologies and tools.

Preferred Skills (Optional)

• Knowledge of React.js, Node.js, MongoDB, or Python.
• Understanding of REST APIs or Git/GitHub.
• Interest in AI tools, automation, or machine learning integration.

Who Can Apply

• Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
• Freshers looking to gain practical industry experience.
• Candidates passionate about web development and AI technologies.

Perks & Benefits

• Hands-on experience on live industry projects.
• Mentorship from experienced developers.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Flexible work environment.
• Opportunity to enhance technical and professional skills.
• Top performers may receive future opportunities based on project requirements.

We are looking for an experienced Business Analyst with 10+ years of experience to lead AI product initiatives and guide the BA team. The role involves understanding business needs, gathering requirements, creating documents like BRDs, FRDs, and user stories, and coordinating with teams such as engineering, AI/ML, QA, design, and product.

The candidate should have knowledge of AI/ML concepts, strong stakeholder management skills, and experience building products from scratch. They will also mentor junior BAs, conduct UAT testing, support Agile/Scrum processes, and help deliver AI-driven solutions successfully.

Key responsibilities include:

• Requirement gathering and solution analysis
• Stakeholder communication and workshops
• Documentation and project coordination
• UAT and QA support
• Team leadership and mentoring
• Working on AI-powered products and automation solutions
• Ensuring ethical and compliant AI practices

Preferred experience includes exposure to Generative AI, LLMs, AI agents, SaaS products, and tools like Jira, Confluence, Figma, and Miro. 

Technical Product Manager

A senior individual contributor role at the intersection of product direction, engineering process, and client outcomes. You will be the person who turns ambiguity into shipped features — and keeps a growing platform from accumulating invisible debt.

Looking for someone who:

– Has managed a tech team through a structural process change and can speak specifically about what broke, what they changed, and what improved

– Has taken a product from its first documentation-zero state to a well-documented, institutionally resilient one

– Has sat in a difficult client conversation where the client wanted something unreasonable — and held the line without losing the relationship

– Has managed someone who pushed back on being managed, and has a specific, unsanitised story about how it went

–Understands SSO/SAML, HRMS integration patterns or other enterprise integration complexity at a level sufficient to write a technical spec without engineering input

–Has used Jira (or equivalent) as a process governance tool — sprint velocity, bug classification, release notes, retrospective action tracking — not just a task list

– Has worked in L&D tech, HR tech, sales enablement or an adjacent SaaS vertical — understands that end users are often frontline workers with limited digital literacy

– Has Figma proficiency and can make design decisions on wireframes independently

Wama Technology

Location: Mumbai (Onsite - Chembur)

Experience: 8 – 14 years

Salary: ₹10L – ₹16.5L/yr (Monthly: ₹85,000 – ₹1,40,000 depending on skill set)

Employment Type: Full-time

Job Description:

We are looking for a high-caliber Lead PHP – Laravel Developer with a strong background in technical leadership to join our team. This role requires a blend of deep hands-on coding and strategic team management. You will oversee a team of developers while acting as the primary technical liaison for our client, ensuring that the architecture is scalable and that the team follows rigorous development standards.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of developers, conduct code reviews, and drive technical excellence across the sprint.
• Architecture & Design: Design complex database schemas and system architectures using Laravel 10+ and PHP 8.x best practices.
• Client Management: Lead technical discussions with client stakeholders to gather requirements and provide progress updates.
• Code Quality: Implement standardized linting, unit testing, and documentation protocols to maintain a high-quality codebase.
• Performance Optimization: Identify and fix bottlenecks in high-traffic applications, focusing on Eloquent query optimization and caching strategies.

Technical Skills & Qualifications:

• Total Experience: 8–14 years in PHP Development.
• Leadership Experience: Strictly 4+ years of experience in leading technical teams, managing sprints, and mentoring junior/mid-level developers.
• Laravel Expertise: Advanced proficiency in Laravel (Service Containers, Service Providers, Middlewares, and Custom Packages).
• Full-Stack Capability: * Strong frontend skills: Tailwind CSS, JavaScript (ES6+), and HTML5/CSS3.
• Working knowledge of React.js and TypeScript for modern interface development.
• Database & API: * Expertise in MySQL (Complex joins, indexing, and optimization).
• Deep experience in developing and securing RESTful APIs with OAuth/Sanctum.
• Environment: Proficiency in Docker, Linux/Ubuntu server management, and Git (Gitflow workflow).

Additional Requirements:

• Agile Mastery: Deep understanding of Scrum/Agile ceremonies and the ability to manage workloads via Jira or ClickUp.
• AI-Driven Development: Experience integrating or using AI-assisted tools (Cursor, Windsurf, or GitHub Copilot) to increase team velocity is a significant plus.
• Communication: Fluent professional English is mandatory for client-side coordination.

What We Offer

• Leadership Role: High-level autonomy to make architectural decisions and lead a dedicated team.
• Competitive Pay: A performance-driven salary package with growth opportunities.

Experience:

• Total PHP Development: 8+ years (Required)
• Team Leading: 3+ years (Required)
• Laravel: 6+ years (Required)

Are you passionate about Artificial Intelligence and automation? We are looking for dedicated and eager-to-learn individuals to join our team for a 100-day internship as an AI Workflow Developer.

This is a strictly learning-focused, unpaid opportunity designed to give you practical, hands-on experience under expert guidance. If you want to bridge the gap between theoretical knowledge and real-world AI development, this is the perfect place to start.

📌 Internship Highlights:

• Role: AI Workflow Developer Intern
• Duration: 100 Days
• Work Mode: Flexible Remote
• Time Commitment: 5 hours per day
• Stipend: Unpaid (Learning and professional development focused)

💡 What We Offer:

• Expert Mentorship: Work directly with experienced developers who will guide you through modern development workflows and real-world problem-solving.
• Structured Courses: Gain access to specialized learning materials covering AI automation, API integrations, and the fundamentals of workflow architecture.
• Live Project Experience: Move beyond theory by contributing to practical AI integrations and agentic workflows.
• Certification: Receive a verified internship certificate upon successful completion of your 100-day journey.

🛠️ What You'll Be Doing:

• Learning to build, automate, and optimize AI-driven workflows.
• Exploring prompt engineering and integrating LLM APIs into functioning applications.
• Collaborating with the team on testing, troubleshooting, and deploying AI solutions.

🎯 Who Should Apply?

• Tech enthusiasts with a foundational understanding of programming (Python preferred) and basic AI concepts.
• Self-starters who are highly motivated, disciplined, and ready to dedicate 5 hours daily to their professional growth.

📩 How to Apply: Ready to accelerate your learning? Send your resume and a brief introduction to hello[@]thecodershub.co.in.

We are looking for a motivated and enthusiastic Full Stack Intern to join our development team. The ideal candidate should have a strong interest in frontend development, backend systems, and AI/ML technologies, along with a willingness to learn and contribute to real-world projects.

Role: Full Stack Intern

Technologies:

• Frontend: React.js, Next.js
• AI/ML: Basic understanding of Machine Learning concepts and AI integrations

Responsibilities:

• Develop and maintain responsive web applications using React.js and Next.js
• Build and integrate backend APIs and services
• Work with databases and server-side logic
• Assist in AI/ML feature integrations and model implementations
• Collaborate with designers, developers, and team leads
• Debug, test, and optimize application performance
• Participate in code reviews and daily team discussions

Requirements:

• Basic knowledge of React.js and Next.js
• Understanding of JavaScript, HTML, and CSS
• Familiarity with backend development using python or similar technologies
• Basic understanding of REST APIs and databases
• Interest in AI/ML technologies and tools
• Good problem-solving and communication skills
• Ability to learn quickly and work in a team environment

Preferred Skills:

• Knowledge of Git/GitHub
• Experience with MongoDB or SQL databases
• Familiarity with Python for AI/ML projects
• Understanding of deployment and hosting platforms

Internship Details:

• Duration: 6 Months
• Internship Type: Remote
• Stipend: 8000-15000 Based on Performance

If you are passionate about building modern applications and exploring AI-powered solutions, we’d love to hear from you.

Workflow & automation tooling: ticketing (Jira/ServiceNow), knowledge base, basic automation (RPA tools or scripts), file + email workflows

Technical basics: SQL queries, API fundamentals (REST/JSON), CSV/Excel proficiency, basic Python scripting (preferred)

Deployment support: staging vs production releases, rollback discipline, configuration management, UAT coordination

Documentation: write clear SOPs, runbooks, control checklists, and audit-ready evidence packs

Stakeholder coordination: translate business issues into actionable tasks for engineers; communicate status, risk, and mitigation clearly

We are seeking a highly motivated and innovative AI SEO Specialist to join our dynamic marketing team. The ideal candidate will have expertise in search engine optimization, artificial intelligence tools, and content strategy. This role involves leveraging AI-powered platforms to enhance website rankings, drive organic traffic, and improve overall digital visibility.

Key Responsibilities

• Develop and implement effective SEO strategies to improve website rankings and organic search performance.
• Utilize AI tools such as ChatGPT, Surfer SEO, Jasper, and other SEO automation platforms for keyword research, content optimization, and competitor analysis.
• Conduct comprehensive keyword research, including long-tail and intent-based keywords.
• Optimize on-page SEO elements, including meta titles, descriptions, headings, and internal linking.
• Perform technical SEO audits and collaborate with development teams to resolve issues.
• Monitor website performance using tools like Google Analytics, Google Search Console, SEMrush, and Ahrefs.
• Generate AI-assisted, SEO-friendly content briefs and optimization recommendations.
• Analyze competitors and identify opportunities for growth.
• Stay updated with the latest SEO trends, search engine algorithms, and AI advancements.
• Prepare regular performance reports and present actionable insights to stakeholders. 

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

Job Title: Software Development - Team Lead

Location: Mohali (Phase 8B)

Company: 75WAY Technologies Pvt. Ltd.

Experience: 4+ Years

We are looking for an experienced Software Development Team Lead to manage a team of developers, oversee project execution, and actively participate in client meetings and requirement discussions. The ideal candidate should have strong technical expertise in MERN / MEAN / AIML technologies, along with proven leadership and communication skills to ensure successful delivery of software projects and high client satisfaction.

Responsibilities

• Lead and manage the software development team to deliver high-quality solutions
• Conduct client meetings, requirement gathering, and technical discussions
• Assign tasks, monitor progress, and ensure timely project delivery
• Provide technical guidance and mentorship to developers
• Coordinate between clients and internal teams to resolve issues
• Ensure adherence to coding standards, timelines, and quality processes
• Handle project planning, task allocation, and performance monitoring
• Maintain regular communication with clients regarding project status
• Identify risks and implement solutions to ensure smooth delivery

What You’ll Be Doing:

• Design and develop advanced AI/ML models to solve complex business problems
• Work closely with cross-functional teams including data engineers and domain experts
• Perform exploratory data analysis, data cleaning, and model development
• Translate business challenges into data-driven solutions and actionable insights
• Drive innovation in advanced analytics and AI/ML capabilities
• Communicate model insights effectively to both technical and non-technical stakeholders

What We’re Looking For:

• 5+ years of experience in AI/ML model development
• Strong foundation in mathematics, probability, and statistics
• Proficiency in Python and exposure to Azure Machine Learning / Databricks
• Experience with supervised & unsupervised learning techniques
• Domain exposure to Energy / Oil & Gas value chain (preferred)
• Strong problem-solving, stakeholder management, and communication skills

Role & Responsibilities

• UX/UI Matchmaker: Lead end-to-end design for apps/web – from profile swipes to wedding planning flows. Turn "single" users into "success stories" with intuitive, delightful interfaces!
• Design System Guru: Build, own & evolve our Shaadi Design System (Figma-based) – components, tokens, guidelines that scale across products. No more design debt drama!
• B2C Superpowers: Deep-dive user research, A/B tests, & analytics in high-traffic consumer apps. Personalize journeys for 35M+ users – think AI matches, chat boosts & premium perks!
• Cross-Func Collab: Partner with PMs, Engg, & Data teams to ship fast. Mentor juniors, run critiques, & evangelize design thinking. Be the "design doctor" for sticky features!

Ideal Candidate

• Strong Product Designer, with focus on B2C Products
• Mandatory (Experience 1): Must have 5+ YOE in Product Design (both UI and UX) with atleast 2 year in B2C companies
• Mandatory (Experience 2): Must have atleast 1 year experience building or working with highly scaled Design systems in a B2C company (non-negotiable)
• Mandatory (Skills): Must have strong knowledge and experience of design with Ai tools(Figma Cloud, Chatgpt)
• Mandatory (Portfolio): Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies
• Mandatory (Company): B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns)
• Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies
• Mandatory (Note 1): CV must have portfolio link with at least 2 detailed case study
• Mandatory (Note 2): This will be a complete IC role
• Mandatory (Note 3): CTC is inclusive of 5%variable
• Preferred (Education): Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)

Team  -Support Operations — Technical Solutions 

Level  - IC3 (4–7 years of relevant experience) 

Location  - India (Remote) IST time zone, with overlap with US East/Central teams 

Reports To -Technical Manager 

Manages -Not a people-manager role, but a lead role with real technical authority 

Employment Type -Full-time 

ABOUT DELTEK 

Deltek is the leading global provider of software and solutions for project-based businesses — serving government contractors, professional services firms, and architecture & engineering companies. Our products help customers manage the full project lifecycle, from winning work and planning resources to executing delivery and getting paid. 

The Support Operations Technical Solutions team sits inside Deltek's Customer Success organization. We build and maintain the internal tooling, integrations, and AI-powered workflows that allow Deltek's support and customer success teams to operate at scale — intelligent case routing, knowledge-base agents, data pipelines between Salesforce, Gainsight, and Oracle Service Cloud, and automation that removes manual work from high-volume support processes. 

THE ROLE 

We are looking for a Senior System Engineer to take technical ownership of our most complex solutions. This is not a management role — it is a senior individual contributor role with real architectural authority and a multiplier effect on the team around you. 

You own problems end-to-end. You design the solution before writing the first line, consider downstream impacts before committing to an approach, and hold the technical bar for the work your team delivers. You are the person a junior engineer turns to when they're stuck, and the person a business stakeholder trusts to tell them whether an idea is feasible and what it will cost to maintain. 

In your first year, you can expect to: 

• Own the end-to-end design and delivery of major integrations and AI-enabled components from architecture through deployment and post-launch stability 
• Lead solution design for the team's most complex problems using PHP, JavaScript, Workato, APIs, and Web Services 
• Evaluate technology and platform tradeoffs and make defensible, documented recommendations that balance short-term delivery with long-term maintainability 
• Apply AI, automation, and agentic architectures to business problems at production scale — not as experiments, but as shipped systems 
• Anticipate performance, operational, and security risks before they reach production; design with those constraints in mind from day one 
• Set engineering standards and review the work of IC1/IC2 engineers, making them better through structured feedback and clear design expectations 
• Partner directly with CS operations leadership and cross-functional stakeholders to translate ambiguous business needs into concrete technical strategies 

This role suits an engineer who is past proving they can build things, and is now focused on building the right things in the right way — and helping others do the same. 

WHAT WE'RE LOOKING FOR 

Must-Have Technical Skills 

• PHP and JavaScript: Production depth: You have designed and shipped non-trivial systems in these languages. You understand performance characteristics, know where the footguns are, and write code you'd be comfortable having reviewed by a senior peer. 
• Integration architecture: You have designed system-to-system integrations — not just consumed APIs. You understand data flow, transformation logic, error handling, retry strategies, and idempotency. 
• AI / LLM applied experience: You have built or led the build of AI-assisted workflows, LLM-based tools, or agentic systems in an operational or product context. You know the difference between a demo and a production-grade AI system. 
• Relational databases: Query and schema design: You write optimized SQL, design schemas with long-term maintainability in mind, and understand when a query will cause production problems before it does. 
• Full-stack troubleshooting at depth: You can diagnose complex, multi-layer issues — across front-end, API, back-end, and database — and trace the root cause without being handed a reproduction case. 
• Technical tradeoff analysis: When evaluating tools, platforms, or approaches, you can articulate the tradeoffs clearly — not just pick what you know best — and document the rationale in a way that holds up six months later. 
• Agile technical leadership: You have led technical workstreams in a sprint-based environment: broken down epics, written meaningful acceptance criteria, and been accountable for team delivery quality. 
• Documentation and design artifacts: You produce architecture diagrams, solution designs, and technical decision records that others can act on — not just notes for yourself. 

Must-Have Leadership & Soft Skills 

• Technical mentorship: You actively make the engineers around you better. Code reviews are teaching opportunities, not gatekeeping. Design reviews are conversations, not approvals. 
• Stakeholder communication: You can translate a technical constraint into a business impact, and a business requirement into a technical specification. You don't hide behind jargon or over-simplify to avoid hard conversations. 
• Ownership under ambiguity: When a problem is poorly defined, you ask the right questions to define it — then own the answer. You don't wait for complete requirements before starting to think. 
• Proactive risk management: You raise issues before they become incidents. You've learned from production failures and carry those lessons into design decisions. 
• Business context awareness: You understand how the systems you build affect end users and business operations. You've made engineering decisions informed by that context, not just by technical preference. 

Nice-to-Have Skills 

Prioritized by relevance to this team's current and near-term roadmap: 

Oracle Service Cloud 

Workato / iPaaS 

Salesforce 

Gainsight 

Agentic AI / LLM Ops 

Snowflake 

Microsoft Power BI 

Microsoft Power Apps 

Cloud-native development 

Experience designing agentic AI systems — not just integrating LLM APIs — is highly relevant to where this team is going. Candidates who have shipped multi-step agent architectures with tool-calling, memory, and guardrails will stand out. 

RESPONSIBILITIES 

Design & Architecture 

• Own end-to-end technical solution design — from requirements through architecture, implementation, and post-launch stability — for the team's most complex initiatives 
• Lead solution design using PHP, JavaScript, Workato, APIs, and Web Services; ensure solutions are scalable, maintainable, and aligned with established governance standards 
• Evaluate tradeoffs across tools, platforms, and architectural patterns; produce documented recommendations that account for both short-term delivery needs and long-term operational cost 
• Anticipate downstream impacts, performance bottlenecks, and operational risk during the design phase — not as an afterthought in retrospect 
• Author and maintain Architecture Decision Records (ADRs) and technical design documents for all major solution components 

AI, Automation & Integration 

• Apply AI, automation, and agentic architectures to complex business problems at production scale — designing for reliability, observability, and graceful failure 
• Lead the integration of AI-enabled components (LLM workflows, intelligent routing, agentic tools) into the team's operational platform 
• Design and oversee integrations between Deltek's CS platforms (Oracle Service Cloud, Salesforce, Gainsight) and internal data systems, ensuring data integrity, performance, and auditability 
• Evaluate new AI frameworks, LLM providers, and automation platforms; provide grounded, implementation-level recommendations rather than theoretical assessments 

Technical Leadership & Mentoring 

• Serve as the primary technical reviewer for IC1/IC2 engineers — conducting structured code and design reviews that build capability, not just ship code 
• Break down complex initiatives into well-scoped workstreams that junior engineers can execute with confidence and appropriate independence 
• Establish and enforce engineering standards: code quality, documentation, testing coverage, deployment practices, and incident response 
• Identify skill gaps in the team and work with the manager to address them through pairing, documentation, or structured learning 

Stakeholder & Cross-functional Engagement 

• Translate ambiguous business and operational requirements from CS leadership into concrete technical strategies with clear milestones and measurable outcomes 
• Engage directly with senior stakeholders — CS operations leads, product owners, IT — to align on priorities, surface risks, and manage technical expectations 
• Represent the technical perspective of the team in cross-functional planning and architecture discussions 

Operate & Improve 

• Own post-launch stability of solutions you design: monitor, respond to incidents, and drive root-cause resolution — not just resolution 
• Drive continuous improvement of the team's delivery practices: identify process friction, propose solutions, and follow through on implementation 
• Stay current on AI, automation, and integration technology evolution; bring relevant advances back to the team with a concrete point of view on applicability 

QUALIFICATIONS 

• Education: Bachelor's degree in Computer Science, Electrical or Electronics Engineering, or a related technical discipline. Equivalent demonstrated experience considered. 
• Experience: 4–7 years of hands-on experience in software engineering, systems integration, or closely related work, with at least 2 years at a level where you have owned technical design decisions — not just implemented them. 
• Coding evidence: A portfolio, GitHub profile, architecture document, or production system you can speak to in depth. At IC3, we expect you to be able to walk through a non-trivial design decision you made and defend the tradeoffs. 
• AI / ML: Practical, production-level experience with LLMs or AI tooling — not just prompt engineering or personal experimentation. Familiarity with frameworks such as LangChain, OpenAI APIs, or similar platforms is a strong plus. 
• Collaboration model: Comfortable working as a technical authority in a distributed team. The role requires regular IST overlap with US East/Central stakeholders (approximately 6:30 PM – 10:30 PM IST for at least part of the week). 
• Language: Strong written and spoken English. At IC3, much of your influence operates through written design documents, async reviews, and stakeholder communications. Precision in writing matters. 

WHAT TO EXPECT WORKING HERE 

• Technical authority with real impact — your design decisions ship to production and affect how thousands of Deltek customers experience support 
• Exposure to production AI/agentic systems and direct involvement in shaping where the team's AI roadmap goes next 
• A team where senior engineers are trusted to lead, not managed step-by-step — you will have autonomy commensurate with your accountability 
• Structured growth path: IC3 engineers who demonstrate architectural leadership and cross-functional influence have a clear track toward Staff or Associate Director scope 
• Regular 1:1s, design review forums, and a manager who will invest in your growth rather than just your output 

Team -Support Operations — Technical Solutions 

Level 

IC2 (1–3 years of relevant experience) 

Location 

India (Remote) — IST time zone, with overlap with US East/Central teams 

Reports To  Tech Manager 

Employment Type  Full-time 

ABOUT DELTEK 

Deltek is the leading global provider of software and solutions for project-based businesses, serving government contractors, professional services firms, and architecture & engineering companies. Our products help customers manage the full project lifecycle — from winning work and planning resources to executing delivery and getting paid. 

The Support Operations Technical Solutions team sits inside Deltek's Customer Success organization. We build and maintain the internal tooling, integrations, and AI-powered workflows that enable Deltek's support and customer success teams to operate at scale — think intelligent case routing, knowledge-base agents, data pipelines between Salesforce, Gainsight, and Oracle Service Cloud, and automation that removes manual work from high-volume support processes. 

THE ROLE 

We are looking for a System Engineer (IC2) to join our Technical Solutions team based in India. This is a hands-on engineering role, you will build, integrate, and support the systems that power our customer-facing and internal support operations. 

In your first year, you can expect to: 

• Build and maintain integrations between support platforms (Oracle Service Cloud, Salesforce, Gainsight) using PHP, JavaScript, and Workato 
• Contribute to AI-assisted workflow automation — including LLM-based tools and intelligent routing solutions already in production 
• Write and optimize SQL queries against our operational data stores to power dashboards, reports, and automated triggers 
• Troubleshoot issues across the full stack: front-end, API layer, back-end logic, and database and document root cause findings 
• Work in a sprint-based environment alongside engineers, CS operations leads, and product stakeholders across the US and India  

This role is well-suited for someone who is early in their career but already has real project or production experience. You will work with guidance from senior engineers while taking genuine ownership of defined workstreams. The expectation is not that you know everything on day one — it is that you are technically curious, structured in your thinking, and driven to ship things that work. 

WHAT WE'RE LOOKING FOR 

Must-Have Technical Skills 

• PHP and JavaScript: Hands-on experience building or maintaining web applications, APIs, or internal tools. You have written code that went somewhere beyond your laptop. 
• REST/SOAP APIs and Web Services: You understand how system-to-system data flows work and have built or consumed integrations in a real context. 
• Relational databases and SQL: You can write optimized queries, understand joins and indexes, and are comfortable reading a schema you didn't design. 
• Full-stack troubleshooting: When something breaks, you know how to methodically trace the issue across front-end, back-end, and database layers — not just escalate it. 
• Documentation: You can translate what you built into clear written artifacts — requirements, workflow diagrams, solution designs — that a non-engineer can follow. 
• Agile/sprint delivery: You have worked in a structured sprint environment and are comfortable with ceremonies, tickets, and incremental delivery. 

Must-Have Soft Skills 

• Root-cause orientation: You don't patch symptoms and move on. You want to understand why something broke before deciding how to fix it. 
• Self-driven with good judgment: You can manage your own time on a defined problem, identify when you're stuck and need input, and flag risks before they become blockers. 
• Clear communicator across audiences: You can explain a technical problem to a non-technical stakeholder and a design decision to a senior engineer — in writing and in a call. 
• Collaborative: You work well with people you've never met in person, across time zones, and with stakeholders who don't share your technical background. 

Nice-to-Have Skills 

The following are not required for the role, but candidates with depth in any of these areas will stand out. Listed in rough order of relevance to this team's current work: 

Oracle Service Cloud 

Workato / iPaaS 

Salesforce 

Gainsight 

AI / LLM integration 

Snowflake 

Microsoft Power BI 

Microsoft Power Apps 

Cloud-native development 

Experience with AI tools (GitHub Copilot, LLM APIs, automation agents) used in an operational or product context — not just personal experimentation — is a genuine plus for this team. 

RESPONSIBILITIES 

At the IC2 level, you will primarily execute within defined frameworks and grow your independent scope over time. The following reflects what you will own and contribute to: 

Build & Integrate 

• Build and maintain AI-enabled workflows, platform integrations, and internal tools using PHP, JavaScript, Workato, and Web Services 
• Develop prototypes and proofs of concept; contribute to production deployments under senior guidance 
• Implement and test integrations between Deltek's support platforms and internal data systems 

Analyse & Solve 

• Break down defined problems into actionable tasks; identify risks, dependencies, and edge cases before they surface in production 
• Troubleshoot complex issues across the full stack and document root cause findings clearly 
• Investigate stakeholder-reported issues to identify whether the problem is technical, process-related, or both 

Operate & Improve 

• Follow established governance, architecture, and deployment processes; raise improvement suggestions through proper channels 
• Write and maintain documentation for systems, workflows, business rules, and solution designs 
• Participate actively in sprint ceremonies; manage your own tasks and flag blockers early 
• Demonstrate continuous learning in AI, automation, and integration technologies — this space moves fast and curiosity is part of the job 

QUALIFICATIONS 

• Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. Equivalent practical experience considered. 
• Experience: 1–3 years of hands-on experience in software engineering, systems integration, or a closely related field. Internship and co-op experience counts if it involved real production systems. 
• Coding: Demonstrable PHP and/or JavaScript experience — a portfolio, GitHub profile, or code sample you can speak to will strengthen your application. 
• Collaboration model: Comfortable working remotely with distributed teams. The role requires regular overlap with US East/Central time zones (approximately 6:30 PM – 10:30 PM IST for at least part of the week). 
• Language: Strong written and spoken English is essential — much of the collaboration with stakeholders and senior engineers happens asynchronously in writing. 

WHAT TO EXPECT WORKING HERE 

• A small, technically-focused team where your work is visible and your contributions are directly tied to outcomes customers feel 
• Exposure to production AI/LLM systems, not just theoretical discussions about AI 
• A culture that values root-cause thinking and good documentation over heroics and quick fixes 
• Growth path: engineers who demonstrate technical depth and ownership at IC2 have a clear track toward IC3 (mid-level) scope within 18–24 months 
• Regular 1:1s and structured feedback — this team invests in making you better, not just keeping you busy 

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1 Year

CTC: ₹12 LPA

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

About the Role

We are looking for a highly motivated Software/Hardware Engineer from premier institutes (IIT/NIT) with strong fundamentals and a passion for building scalable and efficient systems. This role offers an opportunity to work on cutting-edge technology and solve real-world problems.

Key Responsibilities

Design, develop, and optimize software/hardware solutions

Work on system architecture, debugging, and performance improvements

Collaborate with cross-functional teams (product, design, operations)

Participate in code reviews, testing, and deployment processes

Contribute to innovation and continuous improvement initiatives

Requirements

B.Tech/M.Tech from IITs/NITs (Computer Science, Electronics, Electrical, or related fields)

1 year of experience (internships/project experience considered)

Strong programming skills (C/C++/Python/Java) or hardware fundamentals (embedded systems, VLSI, circuit design)

Good understanding of data structures, algorithms, and system design

Problem-solving mindset with strong analytical skills

Preferred Skills

Experience with embedded systems, IoT, or product development

Knowledge of cloud platforms or system-level programming

Good in Computer vision, Flutter, JavaScript, AI/ML

Profile - Databricks Developer

Experience- 5+ years

Location- Bangalore (On site)

PF & BGV is Mandatory

Job Description: -

* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and Apache Spark (PySpark).

* Develop scalable, high performance data solutions using Spark distributed processing.

* Lead engineering initiatives focused on automation, performance tuning, and platform modernization.

* Implement and manage CI/CD pipelines using Git-based workflows and tools such as GitHub Actions or Jenkins.

* Collaborate with cross-functional teams to translate business needs into technical solutions.

* Ensure data quality, governance, and security across all processes.

* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.

* Participate in code reviews and develop reusable engineering frameworks.

* Should have knowledge of utilizing AI tools to improve productivity and support daily engineering activities.

* Strong knowledge and hands-on experience in Databricks Genie, including prompt engineering, workspace usage, and automation

. Required Skills & Experience:

* 5+ years of experience in Data Engineering or related fields.

* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).

* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).

* Strong proficiency in Python for data processing, automation, and framework development.

* Strong proficiency in SQL, including complex queries, performance tuning, and analytical functions.

* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.

* Strong experience with CI/CD and Git-based development workflows. * Proficiency in data modeling and ETL/ELT pipeline design.

* Experience with automation frameworks and scheduling tools.

* Solid understanding of distributed systems and big data concepts

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

1. Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

2. Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Why you’ll love being a ‘Searcian’

NOT your ‘usual’ management consultancy; we ‘solve differently’.

• We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
• The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
• No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
• No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
• No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
• Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
• Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
• Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
• You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
• Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Title: AI Solutions Architect

Location: Gurgaon

Experience: 2-6 years

Type: Full-Time

About the company:

InteligenAI is a fast growing, profitable AI product studio with a global clientele.

We design and deliver enterprise-grade, custom AI solutions that solve real problems - going far beyond makeshift PoCs and over-promising demos.

We’re building one of the most trusted AI services companies in the world - and are looking for a driven, entrepreneurial person to help us get there. Our work spans Agentic AI architectures, document digitization pipelines, retrieval-augmented generation (RAG) systems, and SFT + RLHF workflows - all built in-house so we can move fast, think deep and deliver with confidence.

If you are looking for meaningful work, high ownership and the freedom to push boundaries, you will feel right at home here.

About the role:

We are looking for a hands-on AI engineer to lead AI solution delivery across our client engagements. This role blends technical leadership with solution architecture and a strong product mindset. You will be at the frontline of AI solution delivery, where you will drive the full product lifecycle from understanding business objectives, designing technical approaches, building POCs to delivering production-grade AI systems.

This is not a backseat, “wait for instructions” role. You will work directly with founders, clients, and our growing AI team to shape solutions that make an impact. This role is ideal for someone with an entrepreneurial mindset, a desire to learn and grow constantly and someone who enjoys their work thoroughly. You will be handling multiple responsibilities simultaneously where you will be challenged every day. If you are looking for a 9-to-5 role, this may not be the right fit.

Key responsibilities:

·      Understand business problems, translate them into solution architectures and lead end-to-end AI solution delivery

·      Design and deliver production-grade ML/GenAI systems tailored to real-world use cases

·      Collaborate with clients to identify needs, present solutions and guide implementation

·      Act as a thought partner to the founder and contribute to strategic decisions

·      Lead and mentor a growing AI/Tech team

·      Collaborate with product and design teams to ship AI-driven features that solve real user problems

·      Continuously explore and experiment with cutting-edge GenAI tools, technologies and frameworks

Must have skills:

·      2+ years of hands-on experience building AI/ML solutions across domains

·      Proven ability to understand business workflows and design relevant AI solutions

·      Strong knowledge of GenAI and experience building scalable applications using LLMs, prompt engineering and embedding models

·      Proficient in Python and familiar with libraries/frameworks such as LangChain, Hugging Face Transformers, OpenAI APIs, Pinecone/FAISS

·      Solid understanding of data pipelines, data analytics and ability to take solutions from prototype to production

·      Self-starter mindset- ability to independently manage projects, make decisions and deliver outcomes from day 1

·      Excellent communication and problem-solving skills

Good to have:

·      Open-source contributions or personal GenAI projects

·      Experience working in startups or fast-paced, tech-first organizations

·      Experience with MLOps tools

·      Entrepreneurial experience

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1.5+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Software Engineer

Onsite - HSR Bangalore

6 Days work from Office (Flexible working hours)

Product is a PowerPoint AI assistant used by consulting companies and Fortune 500 teams. A typical professional spends 1 to 3 hours creating one slide. With Product company, they create a v1 of their entire deck in 10 minutes, and make changes like “turn this table to a chart” in seconds directly within PowerPoint.

In the next 2 years, our goal at company is to forever change the way business presentations are made.

Who are we?

• small, strong team of 5
• founders are CS graduates from IIT Kharagpur with a specialisation in AI
• work 6 days a week from our office in HSR Layout in Bangalore
• funded by Y Combinator and other amazing investors
• used by consulting companies and Fortune 500 teams

Your responsibilities (in order)

• Design, implement, test, and deploy full features
• Design and implement a robust infrastructure to enable rapid development and automated testing
• Look at usage data to iterate on features

What we’re looking for

• Undergraduate or master's in Computer Science or equivalent degree
• 2+ years of backend or DevOps software engineering experience
• Experience with TypeScript (JavaScript) or Python

You’ll be a good fit if

• You want to work on a product that can change the way a very large number of people work
• The chaos of high growth and things breaking is exciting to you
• You are a workaholic, looking to upskill faster than most people think is possible. This role is not a good fit for you if you’re looking to prioritise work-life balance.
• You prefer working in-person with other smart people who are excited and passionate about what they’re building
• You love solving very hard problems at a rapid pace. We discuss timelines in days or weeks, so you’ll constantly be expected to ship really high-quality work.

Perks

• Comprehensive health insurance for you and dependents
• Workstation enhancements
• Subscriptions to AI tools such as Cursor, ChatGPT, etc.

(If there's anything else we can do to make your work more enjoyable, just ask)

If you are interested in proceeding, we would be happy to move your profile to the next stage of the evaluation process.

Kindly share the following details to help us take this forward :

• Current CTC (Fixed + Variable):
• Expected CTC:
• Notice Period (If currently serving, please mention your Last Working Day)
• Details of any active offers in hand (if applicable)
• Expected/Available Date of Joining (if applicable)
• Attach Updated CV:
• Attach Github Link / Leet code link or other:
• Current Location:
• Preffered Location:
• Reason for job Change:
• Reason for relocation (if applicable):
• Are you comfortable with 6 days wfo (flexible working hours)?( Yes / No):
• 
  

EKO STAY is a leader in professionally managed vacation homes, offering curated homestay experiences across India. Founded in 2018 by experts in hospitality, the company operates over 150 thoughtfully designed villas across 12 cities. Known for its focus on innovation, customer satisfaction, and sustainable growth, EKO STAY sets benchmarks in alternative accommodations. Guests enjoy a blend of comfort, convenience, and unforgettable experiences with every stay.

Prerequisites:

- Experience: 5 years of experience in Social Media Department and 2 years as social media manager

- Skills: Proficient in Social Media Marketing, Digital Marketing, and Social Media Optimization (SMO).

- Content Strategy: Strong experience in strategizing content for social media and developing content calendars.

- Analytical Skills : Ability to analyze social media metrics and insights to improve performance.

- Creativity: Excellent creative thinking and problem-solving abilities.

- Organizational Skills: Strong organizational and time management skills to manage multiple campaigns and projects simultaneously.

- Leadership: Proven leadership experience in managing and mentoring a team of junior managers and executives

- Qualifications: Bachelor’s degree in Marketing, Communications, or a related field.

Key Responsibilities:

Social Media Strategy & Execution:

- Develop and implement comprehensive social media strategies aligned with the brand’s objectives.

- Strategize content for the upcoming month, considering key themes, seasonal trends, and campaigns.

- Oversee the creation and execution of content calendars, ensuring timely delivery and relevance across platforms.

Team Management:

- Supervise, guide, and mentor junior social media managers, ensuring successful campaign execution.

- Coordinate team efforts to ensure smooth day-to-day execution of social media tasks and initiatives.

-

 Brand Partnerships & Collaboration:

- Manage brand tie-ups, collaborations, and influencer partnerships to increase brand visibility and engagement.

- Ensure effective communication and coordination between internal teams and external stakeholders for seamless campaign execution.

Content Creation & Planning:

- Collaborate with the creative team to create compelling content that resonates with the target audience and aligns with the brand’s voice.

- Oversee the development of monthly content calendars and ensure all content is on-brand, consistent, and engaging.

Paid Campaigns & Reporting:

- Oversee and optimize paid campaigns across Meta and Google Ads, ensuring cost-effectiveness and maximum performance.

- Track campaign metrics such as engagement, reach, conversions, and ROI, providing detailed reports and actionable insights for improvement.

Social Media Optimization (SMO):

- Implement best practices for Social Media Optimization to improve organic engagement and visibility.

- Continuously optimize content for performance across various social media platforms.

Miscellaneous Tasks:

- Travel for shoots and other brand-related activities as required.

- Perform miscellaneous tasks as assigned by management to support the growth of the social media strategy.