50+ Artificial Intelligence (AI) Jobs in India

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)

We are looking for a highly experienced and technically strong AI Engineering Manager to lead and mentor a team of Machine Learning and AI Engineers. This role will drive the execution, delivery, and operational excellence of enterprise AI/ML products and platforms within the Life Insurance and Financial Services sector.

The role operates primarily in a GCP cloud environment and requires bridging architectural design with hands-on engineering execution. The candidate will manage engineering workloads, guide technical decisions, ensure high code quality, and drive project timelines for enterprise-grade AI solutions.

Key Responsibilities

Team Leadership & Project Management

• Own end-to-end delivery of AI/ML projects including sprint planning, backlog grooming, workload management, and resource allocation.
• Provide technical guidance and mentorship to AI/ML engineers, including code reviews and best practices for MLOps, software engineering, and cloud infrastructure.
• Act as the primary technical point of contact for product managers, architects, and business stakeholders.
• Define and enforce engineering standards for development, testing, CI/CD, and monitoring of AI services.
• Recruit, onboard, mentor, and conduct performance reviews for the AI engineering team.
• Collaborate with Data Engineering, DevOps, and other teams to integrate AI models into enterprise systems and data pipelines.
• Identify and manage technical risks, dependencies, and delivery blockers to maintain project velocity.

Technical Delivery

• Implement and operationalize MLOps pipelines for model training, versioning, deployment, monitoring, and explainability.
• Guide teams in leveraging AI platform capabilities such as RAG pipelines, LLM gateways, and vector databases to build business use cases.
• Ensure security, scalability, and performance of production AI services and underlying cloud infrastructure.

Must-Have Skills & Requirements

• 8+ years of experience in Software Engineering, Machine Learning Engineering, or Data Science.
• Minimum 3+ years in a team management or leadership role.
• Proven experience managing and mentoring engineering teams.
• Strong experience with project management methodologies (Scrum/Kanban) and tools such as Jira.
• Hands-on experience with production-scale MLOps and GenAIOps implementations.
• Deep expertise in cloud platforms, preferably GCP.
• Strong understanding of modern data architecture including vector databases, data warehousing, and ETL/ELT pipelines.
• Solid software engineering fundamentals including API design, system architecture, Git, and CI/CD or DevSecOps pipelines.
• Experience with GenAI technologies such as LLM orchestration frameworks, prompt engineering, and RAG architectures.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Good-to-Have / Preferred Skills

• Experience managing distributed or multi-geographical engineering teams.
• Knowledge of regulatory requirements within the BFSI or insurance domain (data privacy, Responsible AI).
• Azure cloud or multi-cloud project experience.
• Experience with streaming data platforms and real-time AI processing.
• Cloud certifications such as GCP Professional Cloud Architect or ML Engineer.

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

About the Role:

Ctruh is hiring a hands-on Director of Engineering who codes, architects systems, and builds teams. You’ll set the technical foundation, drive engineering excellence, and own the architecture of our AI, 3D, and XR platform.

This is not a pure management role - expect to spend 50–60% of your time writing code, solving deep technical problems, and owning mission-critical systems. As we scale, this role transitions into CTO, taking full ownership of technical vision and long-term strategy.

What You’ll Own:

1. Technical Leadership & Architecture

• Architect Ctruh’s full-stack platform across frontend, backend, infrastructure, and AI.
• Scale core systems: VersaAI engine, rendering pipeline, AR deployment, analytics.
• Make decisions on stack, scalability patterns, architecture, and technical debt.
• Own design for high-performance 3D asset processing, real-time rendering, and ML deployment.
• Lead architectural discussions, design reviews, and set engineering standards.

2. Hands-On Development

• Write production-grade code across frontend, backend, APIs, and cloud infra.
• Build critical features and core system components independently.
• Debug complex systems and optimize performance end-to-end.
• Implement and optimize AI/ML pipelines for 3D generation, CV, and recognition.
• Build scalable backend services for large-scale asset processing and real-time pipelines.
• Develop WebGL/Three.js rendering and AR workflows.

3. Team Building & Engineering Management

• Hire and grow a team of 5–8 engineers initially (scaling to 15–20).
• Establish engineering culture, values, and best practices.
• Build career frameworks, performance systems, and growth plans.
• Conduct 1:1s, mentor engineers, and drive continuous improvement.
• Set up processes for agile execution, deployments, and incident response.

4. Product & Cross-Functional Collaboration

• Work with the founder and product team on roadmap, feasibility, and prioritization.
• Translate product requirements into technical execution plans.
• Collaborate with design for UX quality and technical alignment.
• Support sales and customer success with integrations and technical discussions.
• Contribute technical inputs to product strategy and customer-facing initiatives.

5. Engineering Operations & Infrastructure

• Own CI/CD, testing frameworks, deployments, and automation.
• Create monitoring, logging, and alerting setups for reliability.
• Manage AWS infrastructure with a focus on cost and performance.
• Build internal tools, documentation, and developer workflows.
• Ensure enterprise-grade security, compliance, and reliability.

Tech Stack:

1. Frontend: React.js, Next.js, TypeScript, WebGL, Three.js

2. BackendNode.js, Python, Express/FastAPI, REST, GraphQL

3. AI/ML: PyTorch, TensorFlow, CV models, Stable Diffusion, LLMs, ML pipelines

4. 3D & Graphics: Three.js, WebGL, Babylon.js, glTF, USDZ, rendering optimization

5. Databases: PostgreSQL, MongoDB, Redis, vector databases

6. Cloud & Infra: AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes, CI/CD: GitHub Actions, Monitoring: Datadog, Sentry

What We’re Looking For:

1. Must-Haves

• 9+ years of engineering experience, with 3–4 years in technical leadership.
• Deep full-stack experience with strong system design fundamentals.
• Proven success building products from 0→1 in fast-paced environments.
• Hands-on expertise with React/Next.js, Node.js/Python, and AWS.
• AI/ML deployment experience (CV, generative AI, 3D reconstruction).
• Ability to design scalable architectures for high-performance systems.
• Strong people leadership with experience hiring and mentoring teams.
• Ready to code, review, design, and lead from the front.
• Startup mindset: fast execution, problem-solving, ownership.

2. Highly Desirable

• Strong 3D graphics/WebGL/Three.js knowledge.
• Experience with real-time systems, rendering optimizations, or large-scale pipelines.
• Background in B2B SaaS, XR, gaming, or immersive tech.
• Experience scaling engineering teams from 5 → 20+.
• Open-source contributions or technical content creation.
• Experience working closely with founders or executive leadership.

Why Ctruh:

• Hard, meaningful engineering problems at the intersection of AI, 3D, XR, and web tech.
• Build from day zero – architecture, team, and culture.
• Path to CTO as the company scales.
• High autonomy to drive technical decisions.
• Direct founder collaboration on product vision.
• High ownership, high-growth environment.
• Backed by global leaders: Microsoft, Google, NVIDIA, AWS.

Location & Work Culture:

• Location: HSR Layout, Bengaluru
• Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)
• Culture: High-intensity, high-integrity, engineering-first
• Team: Young, ambitious, technically strong

The Ideal Candidate:

You're an engineer at heart and a leader by instinct. You love coding as much as architecting systems. You balance speed with quality, innovate fearlessly, and thrive in ambiguity.

You can:

• Architect microservices in the morning
• Review mission-critical PRs at noon
• Build a Three.js shader in the afternoon
• Run an engineering standup in the evening

You’ve experienced both the pain of poor architecture and the joy of elegant systems - and know how to build things that scale. If you geek out over AI/ML pipelines, 3D rendering, WebGL performance, or building engineering orgs from scratch, you’ll love Ctruh.

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.

Job Title: Lead Data Architect (AI & Cloud)

Company: Risosu Consulting

About the Role

Risosu Consulting is hiring a Lead Data Architect / Crew Manager for one of our global clients in the Cloud, Data & AI space. This role focuses on designing scalable data architectures and driving AI-led transformation across modern cloud platforms.

Key Responsibilities

• Design data strategies, architectures, and scalable cloud solutions
• Build and optimize data pipelines, data lakes, and warehouses
• Collaborate with cross-functional teams to enable AI/ML use cases
• Lead client engagements and translate business needs into data solutions
• Mentor and manage a team of consultants as a Crew Manager

Requirements

• 5+ years of experience in Data Architecture / Engineering
• Strong expertise in cloud platforms (GCP/AWS/Azure)
• Experience with data modeling, ETL, and data governance
• Exposure to tools like BigQuery, dbt, Airbyte, or Power BI
• Strong communication skills and stakeholder management

Why Join via Risosu?

• Opportunity to work on high-impact global projects
• Fast-growing, entrepreneurial environment
• Clear growth path with learning & certification support
• Work with cutting-edge Cloud, Data & AI technologies

If you’re passionate about building scalable data systems and leading teams, let’s connect.

Job Title: Data Architect – AI/ML (Travel Domain)

We’re hiring a Data Architect to build and scale data systems powering AI/ML solutions in the travel domain. In this role, you will design data lakes/warehouses, create robust ETL pipelines, and enable real-time analytics for flight, hotel, and booking platforms. You will work closely with data scientists and engineering teams to support personalization, pricing, and recommendation engines.

Key Requirements:

• 5+ years in data architecture / engineering
• Strong experience with AWS/GCP/Azure and big data tools
• Expertise in ETL, data modeling, and pipeline design
• Good understanding of ML data workflows
• Experience in travel, e-commerce, or high-volume platforms is a plus

If you’re passionate about building scalable data ecosystems and driving AI-led innovation, we’d love to connect.

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

About the Role

We're seeking a Project Manager – Generative AI Specialist who lives and breathes AI. This role is perfect for someone who leverages tools like ChatGPT, Claude, or similar daily to enhance their work, streamline workflows, and create innovative solutions. You’ll lead cutting-edge GenAI projects, collaborating with diverse teams to deliver impactful results. Your expertise in prompt engineering, workflow optimization, and running GenAI projects will make you a vital contributor to our mission of transforming businesses through AI.

Responsibilities

• Lead GenAI Projects
• Take end-to-end ownership of Generative AI projects, ensuring successful delivery aligned with business goals.
• Develop project plans covering timelines, milestones, and resource allocation, and adapt as needed to achieve objectives.

• Hands-On AI Expertise

• Actively use Generative AI tools for day-to-day tasks, demonstrating how these tools can optimize processes and workflows.
• Build automations or implement AI-based solutions that address specific business or technical challenges.
• Apply advanced prompt engineering techniques to achieve desired results from LLMs.

• Collaboration & Business Analysis

• Work with clients, stakeholders, and technical teams to gather, validate, and document requirements.
• Translate business needs into actionable functional and technical specifications.
• Conduct market research and competitive analysis to inform product strategy and roadmap development.

• Innovation & Optimization

• Continuously explore, experiment, and recommend AI tools, frameworks, and methodologies to optimize project workflows.
• Define and prioritize product features, aligning them with business value and customer feedback.

• Communication & Documentation

• Prepare and deliver project documentation, including requirements, specifications, and status updates.
• Present project updates and findings to stakeholders and senior management clearly and effectively.

Requirements

• GenAI Enthusiast

• Extensive experience using Generative AI tools (e.g., ChatGPT, Claude, etc.) for automations, workflow optimization, and creative problem-solving.
• Deep understanding of prompt engineering and optimizing interactions with LLMs to achieve desired outcomes.

• Leadership & Project Management

• Proven experience leading AI-driven projects, from inception to deployment.
• Strong understanding of project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, Trello).

• Technical & Analytical Skills

• Ability to bridge business needs with technical implementation, ensuring seamless execution.
• Familiarity with Generative AI APIs (e.g., OpenAI, Hugging Face) and their integrations into projects.

• Communication & Adaptability

• Exceptional written and verbal communication skills for effectively collaborating with technical and non-technical teams.
• Highly adaptable to working in hybrid and fast-paced environments, juggling multiple priorities with ease.

• Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Business Administration, or related fields.
• 8+ years of experience in project management, product management, or a similar role, ideally in AI or technology-focused environments.

Write to Us If:

• You use GenAI tools daily and can share examples of how they’ve helped you optimize your workflows or build automations.
• You have hands-on experience managing Generative AI projects and can demonstrate your ability to turn ideas into impactful solutions.
• You are well-versed in prompt engineering and can effectively manipulate LLMs to perform as needed.
• You thrive in a role where you can combine business analysis with technical implementation to deliver value-driven outcomes.
• You are detail-oriented, self-motivated, and passionate about staying ahead in the AI space.

This is your opportunity to lead innovative projects in the fast-evolving world of Generative AI while leveraging your expertise to make a real impact. If you're ready to take on this exciting challenge, we’d love to hear from you!

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

About the Company:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

About the Role:

We are seeking a highly skilled Technical Lead – AI who combines deep technical expertise in AI/ML with strong leadership capabilities. The ideal candidate will be responsible for designing AI architectures, leading development teams, and ensuring the successful implementation of AI-driven solutions. This role requires a hands-on technical leader who can guide engineers, solve complex AI problems, and collaborate with cross-functional teams to translate business needs into innovative AI solutions.

Responsibilities:

Technical Leadership:

• Lead the design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers and developers.
• Conduct architecture reviews, code reviews, and technical evaluations.
• Ensure adoption of best practices in AI model development, testing, and deployment.

AI Solution Development:

• Design and implement machine learning, deep learning, and generative AI models.
• Develop AI-powered solutions such as chatbots, recommendation engines, NLP systems, and predictive analytics models.
• Work on LLM-based applications, prompt engineering, and AI workflow automation.
• Build scalable AI APIs and production-ready AI systems.

Innovation & Research:

• Stay updated with the latest advancements in AI, Machine Learning, and Generative AI technologies.
• Evaluate new tools, frameworks, and technologies to enhance AI capabilities within the organization.
• Contribute to internal AI initiatives and innovation projects.

Required Qualifications:

• 6–8 years of experience in Artificial Intelligence, Machine Learning, or Data Science.
• At least 2 years of experience in a technical leadership or senior engineering role.
• Proven experience building production-level AI applications.

Required Skills:

• Strong programming experience in Python.
• Hands-on experience with Machine Learning frameworks such as, TensorFlow, PyTorch, Scikit-learn
• Experience working with Generative AI and Large Language Models (LLMs), LangChain, Llama Index, or similar AI orchestration frameworks.
• Strong knowledge of Natural Language Processing (NLP).
• Experience building AI APIs and integrating AI into applications.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Hands on knowledge of Full Stack Development.

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

Job Title: Data Analyst (AI/ML Exposure)

Experience: 1–3 Years

Location: Mumbai

Job Description:

We are looking for a Data Analyst with strong experience in data handling, analysis, and visualization, along with exposure to AI/ML concepts. The role involves working with structured and unstructured data (SQL, CSV, JSON), building data pipelines, performing EDA, and deriving actionable insights. Candidates should have hands-on experience with Python (Pandas, NumPy), data visualization tools, and basic knowledge of NLP/LLMs. Exposure to APIs, data-driven applications, and client interaction will be an added advantage.

Skills Required: Python, SQL, Data Analysis, EDA, Visualization, APIs

Apply: Share your resume or connect with us.

Job Title: AI Full Stack Developer

Experience: 4–6 Years

Location: Mumbai / Bengaluru

Job Description:

We are hiring an AI-focused Full Stack Developer with strong experience in Python, React/Next.js, and cloud platforms. The role involves working on LLM integrations (OpenAI/Anthropic), prompt engineering, and building AI-driven workflows such as RAG and agent-based systems. Candidates should have hands-on experience with AWS (Lambda, S3, DynamoDB), API integrations, and end-to-end development. Exposure to async processing (Celery/Redis) and modern frontend frameworks is a plus.

Skills Required: Python, React/Next.js, AWS, APIs, LLMs

Apply: Share your resume or connect with us.

Job Title: AI & Product Engineering Intern

Company: Optimo Capital (Nipun Projects and Finance Pvt. Ltd.) Location: Bengaluru, Karnataka (On-site / Hybrid) Duration: 4–6 months | Immediate / Rolling start Stipend: Based on profile

About Optimo Capital

Optimo Capital is an RBI-registered NBFC and India's first phygital Loan Against Property lender. We serve MSME business owners across 5 states, offering loans of ₹10L–₹2Cr with 4-day disbursal. Our tech team is actively building AI systems that redefine how lending operations work — from smart underwriting to autonomous calling agents to document intelligence and real-time property valuation.

What You'll Work On

You will be embedded in an early-stage fintech team working hands-on to make AI systems actually work in the real world — not in theory, not in demos, but in production. This means getting deep into existing projects — an autonomous AI calling system, an intelligent document extraction pipeline, and agentic AI frameworks — running experiments, figuring out what works and what doesn't, and iterating fast until it does.

Expect a lot of trial and error. Expect to think from first principles. Expect to question assumptions and find creative solutions to problems that don't have a textbook answer. The job is as much about curiosity and persistence as it is about technical skill.

Beyond the engineering, you will also be expected to think like a product person — understanding the business impact of what you build, owning parts of the product, and connecting the dots between what the AI does and why it matters to the business.

What We're Looking For

• Person with fundamental thinking in problem solving Currently pursuing or recently completed a degree in Computer Science, Mathematics, Statistics, or Engineering
• Solid programming fundamentals — Python, NodeJS etc and ability to learn new language if required
• Has shipped something: Internship, a project, a GitHub repo, a hackathon submission, or a research prototype that demonstrates end-to-end thinking
• Understands software systems beyond just writing code — APIs, data flows, system design at a basic level
• Can articulate the product reason behind technical decisions — not just "how" but "why"
• Comfortable working in ambiguity and taking ownership of open-ended problems

What Makes a Great Fit

We're looking for someone who reads about AI systems on weekends not because they have to, but because they're genuinely curious. You should be the kind of person who, when given a problem, immediately starts thinking about the product experience and the architecture simultaneously — and can hold both in your head at once. If you've built an LLM-powered tool, integrated a voice API, parsed messy documents, or simply gone deep on understanding how modern AI systems work under the hood — we'd love to talk.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA).

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Key Responsibilities

• Assist in planning and managing social media posting schedules across platforms

• Support the team in day-to-day agency operations and coordination

• Work on brand management and client servicing tasks

• Assist in content creation and copywriting for social media

• Help in developing and executing social media strategies

• Coordinate with designers and creators to ensure timely content delivery

• Support influencer marketing campaigns and brand collaborations

• Work on growing social media presence organically

What You’ll Learn

• How founders build and manage brands in a creative agency environment

• End-to-end campaign planning and execution

• Real-time exposure to client communication and servicing

• Practical understanding of content strategy, performance, and growth

• Behind-the-scenes of influencer marketing and brand collaborations

• Industry exposure to real-time luxury and premium brands, building a strong foundation for future career opportunities

Skills & Requirements

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

• Familiarity with tools like Canva or similar content creation platforms

• Proficiency in AI tools such as ChatGPT, Claude, Gemini or similar platforms

• Strong communication and writing skills

• Creative mindset with a strategic approach to problem-solving

• Self-motivated, proactive, and eager to learn

• Interest in social media, branding, and digital marketing

Why Join Us?

• Work directly with founders and learn how an agency is built from the ground up

• Gain hands-on experience with real client projects

• Be part of a fast-growing, creative, and collaborative 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 marketing agency specializing in crafting customized solutions to elevate businesses in the digital landscape. We work with premium and luxury brands across fashion, lifestyle, beauty, home, and legacy segments driving measurable and performance led growth.

Our core services include social media marketing, performance marketing, influencer marketing, and branding. Guided by design, communication, and strategy, we help brands build a distinct identity and strong market presence.

Marketing Assistant @Knacklabs

Hyderabad | Full-time | 0-1 years

You don't need an AI degree. You need to be obsessed.

We build AI agents that run inside enterprises the kind that actually work, not the kind that demo well and break in production.

GraphRAG, Voice Agents, autonomous workflows. The real stuff.

Now we need someone to tell that story.

The Role: You'll be our first marketing hire.

No "assist the senior marketing manager" energy there is no senior marketing manager. It's you, a Canva account, ChatGPT, and a mandate to make KnackLabs impossible to ignore.

What you'll actually do:

• Run meetups & events organize AI/tech community events in Hyderabad. Real humans, real conversations, real brand.

• Own LinkedIn outreach craft lead messages that don't read like spam. Build campaigns that open doors to enterprise decision-makers.

• Create content that educates LinkedIn posts, Instagram reels, carousels. Not "AI is transforming the world" fluff. Actual insight. Stuff engineers respect.

• Build our brand from zero to "oh yeah, the AI agents company." That's the job.

Who you are:

• Fresh out of college (or close). No experience required. Hunger required.

• You live on social media and understand what makes people stop scrolling

• You write "people actually read it" well, not just "good grammar" well

• You already use AI tools daily ChatGPT, Claude, Midjourney, whatever. If you haven't touched them, this isn't the role

• You're not waiting for instructions. You're three ideas ahead

You'll love this if:

• You notice good branding instantly

• You want to work close to real AI builders, not just post recycled trends • You want your first job to actually be interesting

Why this is a cheat code:

Most freshers learn about AI from courses.

You'll learn it by marketing it sitting with engineers building agents, attending enterprise demos, writing about tech that's 18 months ahead of the market.

✨ Join us to build, break, and innovate AI systems that redefine what’s possible.

Job Title : Azure Data Scientist (AI/ML)

Experience : 5 to 10 Years

Location : Bengaluru

Work Mode : Hybrid (4 Days WFO, Tue to Fri – Non-Negotiable)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a highly skilled Azure Data Scientist with strong expertise in AI/ML, Python, and cloud-based data platforms. The role involves building scalable ML solutions, working on GenAI & RAG use cases, and delivering business impact through data-driven insights.

🔥 Mandatory Skills :

Python, Azure Machine Learning, Databricks, AI/ML model development (5+ yrs), Statistics & Probability, EDA & Data Modeling, Machine Learning algorithms, GenAI/RAG experience

✅ Key Responsibilities :

• Design, develop, and deploy AI/ML models to solve complex business problems
• Perform Exploratory Data Analysis (EDA) for data cleaning, discovery, and insights
• Build and optimize ML pipelines using Azure Machine Learning & Databricks
• Work on GenAI applications, RAG implementations, and advanced analytics solutions
• Collaborate with data engineers, business stakeholders, and domain experts
• Translate complex data into actionable business insights
• Manage model lifecycle (development, validation, deployment, monitoring)
• Communicate model outputs and insights to technical & non-technical stakeholders
• Drive innovation and contribute to AI/ML best practices and strategy

🧠 Required Skills (Must Have) :

• Strong experience in Python (ML/AI development)
• Hands-on with Azure Machine Learning & Databricks
• Deep understanding of Mathematics, Probability, and Statistics
• Expertise in Machine Learning & Data Science methodologies
• Experience in EDA, data visualization, and model development
• Exposure to GenAI, RAG, and ML application development
• Minimum 5+ years of experience in AI/ML model development
• Strong problem-solving and analytical skills

➕ Good to Have :

• Experience with MLOps practices
• Domain knowledge in Energy / Oil & Gas value chain
• Experience in data visualization tools
• Team collaboration or mentoring experience

🤝 What We’re Looking For :

• Strong communication & stakeholder management skills
• Ability to work in a cross-functional, global team environment
• Self-driven, adaptable, and innovation-focused mindset

📝 Interview Process :

1. Geektrust Assessment (Assemble)
2. Technical Interview
3. Fitment Round
4. Client Round

Python Developer (Performance Optimization Focus)

Experience: 3–5 Years

Location: Remote (India-based candidates only)

Employment Type: Full-time

Role Overview

We are seeking a Python Developer with a strong focus on performance optimization and system efficiency. In this role, you will identify bottlenecks, enhance system performance, and contribute to building scalable, high-performance applications in a Linux-based environment.

Key Responsibilities

• Analyze and troubleshoot performance bottlenecks in applications and systems
• Optimize code, database queries, and architecture for scalability and speed
• Design, develop, test, and maintain robust Python applications
• Work with large datasets and improve data processing efficiency
• Collaborate with cross-functional teams to improve system reliability and performance
• Monitor system performance and implement proactive improvements
• Write clean, maintainable, and efficient code following best practices

Required Skills & Qualifications

• 3–5 years of hands-on experience in Python development
• Strong expertise in performance tuning and optimization techniques
• Experience with debugging and profiling tools
• Solid understanding of data structures and algorithms
• Experience with REST APIs and backend development
• Strong analytical and problem-solving skills

Linux & System Knowledge (Must-Have)

• Comfortable working in Linux/Unix environments
• Command-line proficiency, including:
• File editing (vi, nano)
• File permissions (chmod, chown)
• File downloads (wget, curl)
• Basic file and directory operations

Basic Python Knowledge (Interview Scope)

• Writing simple scripts and reusable functions
• String manipulation and data handling
• Example task: Count words in a file/string efficiently

Good to Have

• Familiarity with AI/ML concepts or tools
• Experience optimizing data-intensive or distributed systems
• Exposure to cloud platforms (AWS, GCP, Azure)

Why Join Us

• Work on performance-critical systems with real-world impact
• Fully remote work environment
• Opportunity to work with modern, scalable technologies
• Collaborative, growth-focused team culture

We are looking for a trainer to deliver an advanced AI Training for Oracle Services, specifically leveraging the licensed tool Claude.

The scope of the training should cover the following topics:

• EBS Form Designing using AI
• APEX Form Designing using AI
• Report Generation (.rdf, Fusion BIP) using AI
• Report Bursting using AI
• PaaS/VBCS Form Personalization using AI tools
• Fusion Form Customization using Groovy Script and AI
• EBS to Fusion Form Conversion
• APEX to Fusion Form Conversion

The expected number of participants is 15, and the training is preferred to be conducted offline.

About the Role

Qiro is building the infrastructure powering the next generation of underwriting, credit analytics, and tokenized private credit markets.

We are looking for a Tech Lead — Credit & Blockchain Infrastructure to lead the architecture and execution of our core systems — spanning underwriting engines, credit lifecycle workflows, and blockchain-integrated capital markets infrastructure.

This is not a feature delivery role. This is a system ownership role.

You will be hands-on while leading a growing engineering team in a fast-moving, in-office environment.

What You’ll Own

• Define and evolve the long-term technical vision for Qiro’s programmable credit infrastructure — architecting cohesive systems that unify underwriting engines, credit lifecycle workflows, and tokenized capital markets.
• Own the end-to-end architecture of scalable backend platforms (Python and/or TypeScript), establishing clear boundaries between risk logic, platform APIs, and smart contract integrations while ensuring scalability, auditability, and extensibility.
• Build and standardize configurable underwriting and credit lifecycle systems — from onboarding and drawdown orchestration to repayment waterfalls and early closures — ensuring deterministic, traceable financial state transitions at institutional scale.
• Set integration and infrastructure standards across API contracts, data models, validation layers, and event-driven architectures, enabling reliable synchronization between off-chain services and on-chain contracts.
• Architect secure and resilient blockchain integrations, including wallet interactions, capital flow coordination, and observable on-chain/off-chain state reconciliation.
• Lead high-impact, cross-product initiatives from RFC and system design through production launch — validating architectural decisions, aligning stakeholders, and delivering measurable improvements in reliability, performance, and developer velocity.
• Elevate reliability and operational excellence by defining SLOs, strengthening CI/CD and observability practices, reducing latency, and minimizing systemic risk in financial workflows.
• Build and scale the engineering organization — mentoring senior engineers, shaping hiring standards, driving architecture reviews, and fostering a culture of ownership, craftsmanship, and first-principles thinking.
• Partner closely with Product, Design, Security, and Operations to translate complex lending and capital market mechanics into simple, robust platform primitives.

Who You Are

• 6-8+ years of engineering experience, with 3+ years in technical leadership roles.
• Strong backend architecture experience in Python and/or TypeScript.
• Comfortable designing distributed systems and financial workflows.
• Experience building fintech, lending, underwriting, trading, or blockchain-integrated systems.
• Strong understanding of API design, state management, and data modeling.
• Able to navigate ambiguity and build 0→1 infrastructure.
• Hands-on builder who leads by writing production-grade code.

We Value

• Experience with underwriting engines or policy-driven decision systems.
• Exposure to smart contracts and blockchain integrations.
• Familiarity with PostgreSQL and event-driven architectures.
• Experience in early-stage or high-growth startups.
• Strong product thinking and ability to translate complex financial logic into scalable systems.

Why Join Qiro

• Lead the architecture of a programmable credit infrastructure platform.
• Join the founding technical leadership team.
• High autonomy and ownership — your decisions shape the company.
• In-office collaboration in Bangalore for speed and iteration.
• Competitive compensation and meaningful equity.

Our Culture

We operate with:

• First-principles thinking
• Technical craftsmanship
• High ownership
• Fast execution with long-term architectural discipline

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Job Title:

DevOps / MLOps Engineer – GCP, Kubernetes, GPU Workloads, Python

Job Description

We are looking for an MLOps Engineer with 4–7 years of experience in cloud infrastructure, web application development, and ML pipeline deployment. The ideal candidate will manage GPU workloads on Kubernetes (GKE/EKS), optimize ML infrastructure, and handle scalable web applications in cloud environments.

Responsibilities:

• Develop and maintain web apps using Python, TypeScript, and Node.js.
• Manage DevOps pipelines and production infrastructure on GCP, including Terraform, Kubernetes, and cloud storage.
• Deploy, scale, and monitor ML models (vLLM, Triton, TensorRT-LLM) on multi-GPU instances.
• Optimize GPU resources, container GPU passthrough, autoscaling, and cost efficiency.
• Write and run tests for application and infrastructure code.
• Collaborate effectively using online communication tools (Slack, Teams, Zoom).
• Utilize AI coding copilots and productivity tools to accelerate development.

Requirements:

• 4–7 years experience in cloud infrastructure and DevOps/MLOps roles.
• Strong skills in Python, TypeScript, Node.js, and Kubernetes (GKE/EKS).
• Experience with GPU workloads, Terraform, SaaS environments, and Linux administration.
• Knowledge of ML model deployment, CUDA/NCCL debugging, and GPU optimization.
• Conversational English (written, verbal, listening).

Required - CI/CD, Node.js, TypeScript, CUDA, NCCL, GPU optimization, ML model deployment, Infrastructure as Code, Cloud infrastructure, and AI coding copilots.

Job Types: Full-time, Permanent

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Role Overview: We are seeking a Research Engineer to develop AI-driven solutions at the intersection of energy, climate science, and artificial intelligence. You will play a pivotal role in product development, leveraging data science and machine learning to solve engineering challenges.

Responsibilities:

• Develop and deploy data-driven solutions for energy and power market applications.
• Analyze large, diverse data sets: meteorological, local sensors (wind, solar, consumption), images (satellite images, etc.).
• Solve core engineering problems with AI/ML techniques, domain expertise, and advanced modeling.
• Design and build scalable pipelines for training, testing, and deploying models.
• Communicate complex ideas effectively to both technical and non-technical stakeholders.
• Collaborate across teams to drive product development and ensure impactful outcomes.

Expectations:

• Ability to move from broad vision to technical solutions.
• Ownership mindset: accountability for effort and outcomes.
• Integrity, transparency, and teamwork. Requirements:
• Strong analytical skills with a data-driven and scientific approach.
• Proficiency in Python, capable of handling both structured and unstructured data.
• Prior experience (industry or academia) building machine learning or deep learning based AI solutions.
• Prior experience in LLM & GenAI is a plus.

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases. 

EasySLR is pioneering the future of systematic literature reviews through AI and innovative technologies. Our platform, recognized by industry leaders and academic communities alike, redefines the way researchers conduct reviews, making the process faster, smarter, and more intuitive. We've been at the forefront of AI-driven research, presenting at major conferences and setting new standards in evidence synthesis. If you are a visionary leader with a passion for technology and a drive to make a significant impact, we want you to join our mission to transform the research landscape.

Responsibilities :

- Lead and mentor a team of talented engineers, fostering a culture of innovation, collaboration, and continuous learning.

- Architect and oversee the development of a scalable, high-performance platform that integrates cutting-edge AI technologies and industry best practices.

- Drive the engineering strategy, ensuring alignment with our product vision and business goals.

- Collaborate closely with cross-functional teams, including product, design, and AI experts, to deliver a world-class product experience.

- Ensure the robustness, security, and scalability of our infrastructure, leveraging your deep expertise in cloud computing and full-stack development.

- Stay ahead of emerging technologies, incorporating the latest advancements into our platform and maintaining our competitive edge.

- Cultivate a high-performing engineering team through effective hiring, coaching, and professional development opportunities.

Requirements :

- 4+ years of experience in software engineering, with a proven track record of leading high-performing engineering teams.

- Expertise in full-stack development, with hands-on experience in Python, Node.js, and frameworks like Next.js.

- Extensive experience with cloud platforms, particularly AWS, and familiarity with tools like AWS Lambda, AWS CDK, and containerization technologies.

- Strong background in designing and scaling complex, distributed systems with a focus on performance and security.

- Experience in AI/ML-driven product development is a significant plus.

- Exceptional problem-solving skills, with a strategic mindset and the ability to make data-driven decisions.

- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

What We Offer :

- The opportunity to lead a cutting-edge platform at the intersection of AI and systematic literature reviews.

- Competitive compensation and a clear path to executive leadership.

- A vibrant, inclusive work culture that values diversity, innovation, and work-life balance.

- The chance to make a meaningful impact in a fast-growing, AI-first SaaS company shaping the future of research.

Ready to lead the engineering efforts that will drive the next generation of AI-driven systematic reviews? Join us at EasySLR and be part of a team that's revolutionizing the research process. Apply now and embark on an exciting journey at the forefront of technology and innovation

Job Title: Full Stack Engineer (Django + Next.js)

We’re looking for a Full Stack Engineer with strong backend fundamentals and solid frontend experience to build scalable web products and APIs.

Must-Have

• Django + DRF (2+ years): Models, serializers, services, API views, migrations, query optimization (select_related / prefetch_related), transaction.atomic, custom managers

• Next.js + React (2+ years): App Router, SSR, client components, dynamic imports, useQuery, responsive UIs with Tailwind

• REST APIs: Auth, permissions, pagination, error handling, CORS, JWT flows

• PostgreSQL: Schema design, indexes, constraints, JSON fields, raw SQL when needed

• Celery / async tasks: Retry logic, idempotency, task chaining

• Git: Clean commits, branching, PR workflow

Good to Have

• AI / LLM integrations

• AWS S3 and presigned uploads

• Multi-tenancy

• WebRTC / MediaRecorder

• Docker

• Testing with pytest / Django TestCase / factory_boy

We’re looking for someone who can independently own features end-to-end and write clean, scalable code.

Description :

Job Title : Python Engineer- AI Agents & Code Optimization

Experience : 2+ Years

Employment Type : Full-time

Location : Remote

About the Role :

We are looking for a hands-on Software Engineer to build and improve AI agents that work directly on our production code.

Your core responsibility will be to design and evolve a specialized AI agent that deeply understands our codebase and actively helps make it faster, cleaner, simpler, and cheaper to maintain.

This is not a research role. This is real work on real systems with real business impact.

How We Work :

- Business impact first : Cheaper, Faster, Better

- Simple beats complex always

- Small changes, shipped fast

- You own your work end-to-end

- First question is always : Do we even need this?

- Flat team, zero micromanagement

- Decisions can change adaptability matters

- No long PRDs : one clear goal ? discuss ? execute

- Ship, measure, improve, repeat

What You Will Do :

- Build and use AI agents to optimize, refactor, and remove code

- Feed logs, metrics, and performance data back into AI agents

- Profile applications and identify performance bottlenecks

- Optimize SQL queries and database usage

- Improve deployment pipelines and release processes

- Continuously improve internal AI tooling

- Work closely with infrastructure and production systems

Tech You Should Be Comfortable With :

You dont need to be an expert in everything, but you should be comfortable working with :

- Linux CLI (Required)

- Python

- PHP

- SQL (MySQL or MariaDB)

- Shell scripting

- Large Language Models (LLMs)

What Were Looking For :

- 2+ years of software engineering experience (or strong hands-on projects)

- Solid understanding of performance optimization

- Experience cleaning up legacy or messy codebases

- Practical profiling and debugging skills

- Comfortable working close to infrastructure and deployments

- Automation-first mindset

- Ability to explain technical decisions clearly and simply in English

Nice to Have :

- Experience building AI agents

- Exposure to large or long-running systems

- CI/CD or deployment automation experience

When You Join :

- Career Growth : You are expected to grow into a tech lead, entrepreneur, or highly skilled specialist

- Bleeding-Edge Tech : Hands-on experience with alpha/beta software, cutting-edge infrastructure, and top tier hardware

- Global Exposure : Work with a global team and directly with C-level leadership

- Real Impact : Your code directly solves real user problems and moves the company forward

Role Summary

The Service Delivery & Change Manager is responsible for ensuring smooth day-to-day support operations, structured execution of change requests, and controlled production releases across client accounts and internal systems. This is a hybrid role requiring a mix of delivery management, technical coordination, stakeholder communication, and operational discipline.

Key Responsibilities

• Oversee day-to-day production support activities across projects or client accounts
• Manage incidents, service requests, and operational issues to ensure timely resolution and SLA compliance
• Coordinate with internal technical teams for troubleshooting, escalation, and closure of support cases
• Maintain support records, trackers, and operational documentation
• Support business users with system-related requests, user access coordination, and issue follow-up where needed
• Manage the complete lifecycle of change requests from requirement gathering to closure
• Coordinate with business stakeholders, clients, and technical teams to define scope, effort, timelines, and priorities
• Ensure proper approvals, documentation, planning, testing, deployment readiness, and closure of all changes
• Coordinate production deployments involving application and database changes
• Support release planning, deployment communication, release notes, and post-release follow-up
• Act as the primary coordination point between clients, business teams, and delivery teams
• Lead or support review meetings, status calls, follow-ups, and issue discussions
• Provide regular updates on support status, change progress, risks, and delivery timelines
• Ensure adherence to internal processes, governance standards, and audit requirements
• Support compliance-related activities, reporting needs, and documentation for management or client review
• Prepare weekly and monthly reports covering incidents, support activities, change requests, deployment status, and team utilization
• Track open items, pending approvals, delivery risks, and recurring support trends
• Support management with structured data for invoicing inputs, audit preparation, and operational analysis
• Contribute to process improvements that strengthen service quality, delivery control, and communication flow
• Manage resource planning, team allocation, leave schedules, and backup coverage to ensure smooth delivery continuity.
• Support onboarding, knowledge transfer, and internal coordination for smooth service continuity
• Identify, support, and help drive AI-led initiatives that improve operational efficiency, service quality, reporting, or delivery processes

Required Skills / Knowledge

• Strong experience in application support, service delivery, change management, or technical project coordination
• Good understanding of incident management, service request handling, and change control processes
• Experience in production release coordination and deployment planning
• Strong stakeholder management and client communication skills
• Ability to work across business, technical, and operational teams
• Strong reporting, documentation, and follow-up discipline
• Familiarity with ticketing tools, release processes, and enterprise support environments
• Good analytical and problem-solving skills
• Ability to manage multiple priorities in a structured and calm manner
• Working knowledge of Java-based enterprise applications, including Spring Framework and Hibernate
• Familiarity with cloud platforms such as AWS
• Basic working knowledge of Linux environments
• Understanding of CI/CD tools and version control platforms such as Jenkins, GitHub, and Bitbucket
• Ability to coordinate effectively with development and DevOps teams on application changes, deployments, and environment-related issues
• Strong interest in emerging technologies and willingness to contribute to AI initiatives within the organization

Preferred Qualifications

• Bachelor’s degree in Engineering, IT, Computer Science, or related field
• 5+ years of relevant experience in service delivery, application support, or technical project management
• Experience in client-facing delivery environments
• Exposure to audit, compliance, or governance-heavy projects is an advantage
• Experience in the Energy sector and/or Ecommerce will be an added advantage

About Us

AtDrive Infotech is a forward-thinking IT company delivering innovative and scalable software solutions using modern technologies. We focus on building reliable, secure, and intelligent applications that enhance business performance.

We are looking for a motivated Software Development Engineer (ASP.NET) who is eager to learn, contribute to development projects, and work on modern technologies including AI-integrated applications.

Key Responsibilities

• Assist in designing, developing, and maintaining ASP.NET-based applications.
• Participate in the software development lifecycle, including coding, testing, debugging, and deployment.
• Develop and maintain ASP.NET MVC and Web API applications.
• Work on frontend development using HTML5, CSS3, JavaScript, and jQuery.
• Develop and integrate REST APIs and third-party services.
• Write efficient SQL queries and assist in database development.
• Debug technical issues and optimize application performance.
• Perform real-time testing during development to ensure code quality.
• Collaborate with team members and follow coding standards.
• Support deployment and maintenance activities.

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 1–2 years of experience in ASP.NET development.

Required Technical Skills

• Good knowledge of C# and .NET Framework.
• Experience with ASP.NET MVC and Web API development.
• Basic knowledge of Web Services and API integration.
• Strong understanding of HTML5 and CSS3.
• Experience with JavaScript and jQuery.
• Familiarity with AJAX-based client-server communication.
• Basic knowledge of SQL Server and Stored Procedures.
• Familiarity with Entity Framework or LINQ.
• Understanding of JSON and XML data formats.
• Basic knowledge of Object-Oriented Programming (OOP) concepts.
• Familiarity with Git or version control systems.

AI Skills (Desired)

• Basic understanding of Artificial Intelligence (AI) concepts.
• Familiarity with using AI-based APIs such as chatbots or automation tools.
• Willingness to learn and work on AI-integrated applications.

Additional Skills (Preferred)

• Exposure to AngularJS or similar frontend frameworks.
• Familiarity with WPF / WinForms concepts.
• Basic knowledge of n-tier architecture.
• Understanding of debugging and performance optimization techniques.

Personal Attributes

• Strong problem-solving and troubleshooting skills.
• Ability to work in a fast-paced development environment.
• Good communication and teamwork skills.
• Self-motivated and eager to learn new technologies.
• Ability to prioritize tasks and meet deadlines.
• Strong ownership and accountability mindset.

Roles Expectations

• Deliver assigned development tasks within deadlines.
• Maintain clean and maintainable code.
• Follow development and quality standards.
• Continuously learn new technologies and frameworks.
• Support senior developers in technical implementations.

Job Details

Job Title: Software Development Engineer – ASP.NET

Job Type: Full-time

Work Location: Remote

Salary Range:

₹25,000 – ₹35,000 per month

(Negotiable based on skills and technical performance)

Benefits

• Paid sick leave
• Paid time off
• Work from home

Schedule

• Day shift
• Monday to Friday (Mon-Sat during Probation)

Intern (GenAI - Python) - 3 Months Unpaid Internship

Job Title: GenAI Intern (Python) - 3 Months Internship (Unpaid)

Location: Ahmedabad (On-Site)

Duration: 3 Months

Stipend: Unpaid Internship

Company: Softcolon Technologies

About the Internship:

Softcolon Technologies is seeking a dedicated GenAI Intern who is eager to delve into real-world AI applications. This internship provides hands-on experience in Generative AI development, focusing on RAG systems and AI Agents. It is an ideal opportunity for individuals looking to enhance their skills in Python-based AI development through practical project involvement.

Eligibility:

• Freshers or currently pursuing BE (IT/CE) or related field
• Strong interest in Generative AI and real-world AI product development

Required Skills (Must Have):

• Basic knowledge of Python
• Basic understanding of Python frameworks like FastAPI and basic Django
• Familiarity with APIs and JSON
• Submission of resume, GitHub Profile/Project Portfolio, and any AI/Python project links

What You Will Learn (Internship Goals):

You will gain hands-on experience in:

• Fundamentals of Generative AI (GenAI)
• Building RAG (Retrieval-Augmented Generation) applications
• Working with Vector Databases and embeddings
• Creating AI Agents using Python
• Integrating LLMs such as OpenAI (GPT models), Claude, Gemini
• Prompt Engineering + AI workflow automation
• Building production-ready APIs using FastAPI

Responsibilities:

• Assist in developing GenAI-based applications using Python
• Support RAG pipeline implementation (embedding + search + response)
• Work on API integrations with OpenAI/Claude/Gemini
• Assist in building backend services using FastAPI
• Maintain project documentation and GitHub updates
• Collaborate with team members for tasks and daily progress updates

Selection Process:

• Resume + GitHub portfolio screening
• Short technical discussion (Python + basics of APIs)
• Final selection by the team

Why Join Us?

• Practical experience in GenAI through real projects
• Mentorship from experienced developers
• Opportunity to work on portfolio-level projects
• Certificate + recommendation (based on performance)
• Potential for a paid role post-internship (based on performance)

How to Apply:

Share your resume and GitHub portfolio link via:

Job Title: Associate Product Manager

Location: Arjan Garh, Delhi On site

Company: Timble Glance

About Us:

Timble Glance is a leading AI based RegTech company that provides cutting-edge solutions in the B2B SaaS space, specifically catering to the BFSI sector. Our platform streamlines compliance and regulatory processes, helping organizations stay ahead in an evolving regulatory landscape. We are now looking for an Associate Product Manager to join our dynamic team and help us shape the future of regulatory technology.

Role Overview:

As Technical Product Manager, you will support the product team in delivering innovative solutions for the BFSI sector. You’ll work closely with developers, and cross-functional teams to ensure our products meet the needs of our clients. This is an excellent opportunity for someone with 4-6 years of experience looking to develop their career in product management within the fintech and RegTech space.

Key Responsibilities

●Assist in the end-to-end product lifecycle, from ideation and requirements gathering to launch and post-launch analysis.

●Collaborate with stakeholders to understand market needs, customer pain points, and regulatory trends.

●Define detailed product requirements, user stories, and acceptance criteria.

●Work closely with engineering, QA, and design teams to ensure timely and high-quality product releases.

●Assist in the prioritization of product backlogs based on business value, customer feedback, and technical feasibility.

●Monitor product performance and KPIs, providing insights and recommendations for continuous improvement.

●Conduct market research and competitor analysis to identify product opportunities and risks.

●Support the creation of technical and product documentation for internal and external stakeholders.

Qualifications and Skills

●2-4 years of experience in product management, required in BFSI or fintech.

●Understanding of the BFSI sector and regulatory requirements is a plus.

●Experience working with APIs and knowledge of API management is required.

●Familiarity with agile methodologies and tools (e.g., Jira, Confluence).

●Excellent communication and stakeholder management skills.

●Analytical mindset with strong problem-solving skills.

●Self-motivated with a willingness to learn and adapt in a fast-paced environment.

●Exposure to AI, fintech, and/or API management.

REQUIRED QUALIFICATION

●Bachelor’s degree in Business, Computer Science, Engineering, or a related field.

Star Apps is looking for a detail-oriented and technically-driven QA Engineer to join our product team in Baner, Pune. In this role, you will move beyond simple bug-finding to focus on the reliability and scalability of our SaaS platform.

The ideal candidate has a "product-first" mindset, having previously worked in SaaS or Product-based environments, and possesses a strong understanding of how data moves through complex systems.

What You’ll Do

• End-to-End Test Engineering: Develop and maintain robust automated test suites across the stack (UI and API) to ensure high-velocity, high-quality releases.
• Deep-Dive Diagnostics: You won’t just report bugs; you will read and interpret logs to perform deep Root Cause Analysis (RCA), helping developers identify exactly where a system is failing.
• Complex System Validation: Test highly interdependent workflows where a change in one module affects several others, ensuring stability across complex business logic.
• SaaS Integration: Partner with Engineering to bake automated tests directly into the CI/CD pipeline.
• Shift-Left Collaboration: Participate in design reviews to provide "testability" feedback before a single line of code is written.

What We’re Looking For

• The "Product" Lens: 1–4 years of experience in a fast-paced SaaS or Product company. You prioritize the user’s journey over just "passing" scripts.
• Backend & API Mastery: Strong experience in Backend testing and API validation using tools like Postman or RestAssured. You should be comfortable testing logic involving queues, webhooks, and third-party integrations.
• Automation First: Proven hands-on experience with modern automation frameworks (e.g., Playwright, Cypress, or Selenium).
• The "Sleuth" Mindset: A natural inclination to solve the why behind a bug, not just the what. You are comfortable navigating server logs to trace errors.
• AI-Forward Thinking: You are already leveraging AI tools (like GitHub Copilot, ChatGPT, or automated test generators) to accelerate your coding, generate test data, or optimize test cases.
• On-site Energy: A desire to work out of our Baner office 5 days a week, contributing to a high-collaboration, face-to-face team environment.
• Education: A degree in Computer Science, IT, or a related technical field.

Preferred Skills

• Data Literacy: Solid understanding of SQL for deep data verification and state checking.
• Infrastructure Awareness: Familiarity with cloud platforms (AWS, Azure, or GCP) and how services interact within them.
• Resilience Testing: Experience testing distributed systems or performance testing basics.

Why Star Apps?

• Impact: Your work directly affects our core product and global customer base.
• Growth: A fast-paced environment where your 1–3 years of experience will quickly scale through mentorship and ownership.
• Location: Work from the heart of Pune's tech hub in Baner.

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1+ 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.

Prompt Engineer Intern (Intern → Full-Time)

AI Startup

We’re an early-stage AI startup founded by 2× entrepreneurs from IIT & IIM, building user-first AI products from day one. We move fast, talk to clients daily, and ship relentlessly.

We’re looking for a curious, driven Prompt Engineer Intern who wants real ownership—not just theory. This is a hands-on role with a clear path to full-time conversion based on performance.

If you enjoy decoding client needs, crafting precise AI prompts, and turning vague requirements into reliable workflows, this role is for you.

What You’ll Do

• Speak with clients regularly to deeply understand their requirements, use cases, and pain points
• Translate client feedback into optimized AI workflows, prompts, and system architectures
• Design, test, and refine prompts for LLMs to deliver accurate, efficient outputs
• Prioritize workflow improvements and write clear, actionable prompt specs and test cases
• Work closely with engineering and product teams to integrate prompts into live AI products and iterate based on results
• Track and analyze AI performance metrics (e.g., accuracy, latency, cost) to refine workflows
• Help shape the AI roadmap with a strong bias for execution, scalability, and client impact

What We’re Looking For

• Strong interest in AI, LLMs, prompt engineering, and building real-world AI solutions
• High client empathy and excellent written & verbal communication to bridge business needs with tech
• Fast learner with a hands-on, ownership-driven mindset
• Comfortable working in ambiguity, experimenting with prompts, and moving quickly
• No prior prompt engineering experience required—curiosity, hustle, and accountability matter more

Internship Details

• Duration: 6 months
• Conversion: Full-time opportunity based on performance
• Stipend: ₹10,000 - 15000 per month
• Full-Time CTC: ₹4.5+ LPA (performance-based)
• Ideal Profile: Aspiring Prompt Engineer with some exposure to AI projects, hackathons, side projects, or experimenting with LLMs (e.g., OpenAI, Grok)

What You’ll Learn

• Prompt Engineering: Crafting effective prompts, chain-of-thought, and advanced techniques
• Client-to-AI Translation: Converting business requirements into robust AI workflows
• Execution: Collaborating with engineers to deploy and scale AI systems
• Voice AI Ecosystem: Building workflows for voice agents and real-world applications
• AI Optimization: Using metrics to evaluate prompts, reduce costs, and boost performance
• Product Analytics: Data-driven iteration for client-facing AI solutions

If you want to build, optimize, and learn by doing, this is a high-impact opportunity to kickstart your Prompt Engineering career in AI.

Generative AI System Design

• Architect and implement end-to-end LLM-powered applications
• Build scalable RAG pipelines (chunking, embeddings, hybrid search, reranking)
• Design and implement agent-based workflows (tool calling, multi-step reasoning, orchestration)
• Integrate LLM APIs such as OpenAI and Anthropic, along with open-source models
• Implement structured output validation, grounding strategies, and hallucination mitigation
• Optimize inference cost, latency, and token efficiency
• Design evaluation pipelines for performance, accuracy, and safety

2️⃣ Backend & Microservices Engineering

• Design scalable backend systems using Python
• Build REST and async APIs using FastAPI / Django
• Architect and implement microservices with clear service boundaries
• Implement service-to-service communication (REST, gRPC, event-driven messaging)
• Work with message brokers (Kafka / RabbitMQ)
• Optimize database performance (PostgreSQL, MongoDB)
• Implement caching strategies (Redis)
• Build observability: logging, monitoring, distributed tracing

3️⃣ Cloud-Native Architecture & DevOps

• Design and deploy containerized services using Docker
• Orchestrate services using Kubernetes
• Implement CI/CD pipelines
• Ensure system scalability, resilience, and fault tolerance
• Apply distributed systems principles:
• Circuit breakers
• API gateway patterns
• Load balancing
• Horizontal scaling
• Saga patterns
• Zero-downtime deployments

Position Responsibilities:

Deltek is seeking a skilled specialized Automation Engineer with expertise in testing and test automation of AI-powered workflows and intelligent features across ERP product lines. This role blends traditional ERP quality engineering with next-gen AI validation, ensuring that embedded AI capabilities are accurate, safe, compliant, explainable, and scalable.

The ideal candidate needs strong ERP domain knowledge, hands-on automation expertise, and understands how to evaluate LLM-driven responses, predictive analytics, recommendations, and AI decision support outputs. This role requires a detail-oriented individual who can work collaboratively with cross-functional teams to ensure the delivery of high-quality ERP solutions.

Responsibilities

• Develop end-to-end test strategy for AI features across ERP modules such as Finance, Supply Chain, Projects, HR, and Payroll
• Execute functional, regression, scenario-based, and exploratory testing for AI-enhanced workflows
• Validate AI/ML outputs including:
• Prediction accuracy & scoring
• Recommendation relevance
• Natural-language responses
• Behavior consistency across edge cases
• Create and maintain automation suites for UI/API and AI validations
• Design AI safety test cases → hallucination detection, bias testing, ethical and compliance alignment
• Collaborate with Product Managers, AI/ML engineers, SMEs, and Developers to define release quality gates
• Ensure test coverage of data pipelines: input validation, data sampling, transformations, and output visualizations
• Contribute to performance, scalability & data-drift testing of AI features in ERP contexts
• Maintain test documentation — test plans, test cases, defect logs, and sprint reports
• Drive automation adoption in CI/CD pipelines for AI-enabled releases
• Provide mentorship to senior engineers and teams, guiding best practices and fostering professional development.

Qualifications & Experience:

• BS/MS degree in Computer Science or a related field.
• 6+ years of proven experience in automation testing, with at least 2+ years working with AI or ML-based systems
• Proven track record of designing and implementing AI Based automation solutions.
• Expertise in multiple automation tools and frameworks, with a deep understanding of the latest technologies.
• Experience in developing and refining overall strategies for API testing.
• Proficiency in using version control systems like Git for managing code.
• Experience with cloud-based ERP solutions.
• Experience with performance and security testing.
• Strong debugging and analytical skills

Good-to-Have Skills

• Understanding of LLM fine-tuning, vector databases, RAG pipelines, embeddings
• Familiarity with data privacy & compliance frameworks
• Experience with security testing for AI systems
• Exposure to AIOps or self-healing automation frameworks

Technical Qualifications:

• In-depth understanding of modern QA methodologies, tools, and processes with a focus on AI-driven features and intelligent workflows.
• Strong understanding of API architectures including REST, SOAP, GraphQL, and WebSocket, along with experience validating AI-generated responses via APIs (e.g., LLM response endpoints, inference APIs).
• Hands-on experience with API testing tools such as Postman, SoapUI, JMeter, or REST Assured, including automated evaluation of AI output scoring / JSON inference payloads.
• Proficiency in one or more programming languages — Java, Python, or JavaScript — with the ability to build AI output validation utilities, automated prompt-testing harnesses, or data-driven frameworks.
• Knowledge of CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and automation integration for AI feature regression and model-response validation.
• Familiarity with LLM / ML concepts from a QA perspective — prompt testing, hallucination detection, prediction scoring, explainability validation, bias checks, guardrail/output sanitization.
• Strong SQL and database testing skills, including validation of training datasets, feature store data, and end-to-end AI data pipelines.
• Good understanding of Agile / Scrum development practices with experience participating in AI model release cycles (shadow mode, AB comparison, fine-tuning validation, or phased rollout).

Soft Skills:

• Excellent communication and collaboration skills.
• Ability to manage multiple tasks/projects concurrently.
• Strong interpersonal skills for working in a team-oriented environment.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proactive and self-motivated with a strong desire for continuous learning and improvement.

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred
• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare