50+ Artificial Intelligence (AI) Jobs in India

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Senior BackEnd Engineer

The ideal candidate will have a strong background in building scalable applications, a deep understanding of back-end technologies, and experience with cloud infrastructure. As a Back End Engineer, you will be responsible for designing, developing, and maintaining a scalable workflow management system. You will work closely with cross-functional teams to build robust and efficient applications that meet the needs of our users. Your expertise in Scala, Python, AI Agents/APIs, and GCP will be crucial in ensuring our system is reliable, performant, and scalable.

Key Responsibilities:

Back-End Development:

• Build and maintain back-end services and APIs using Scala.
• Implement and optimize Orchestration workflow system involving database queries and operations.
• Build API integrations with Third Party APIs and services.
• Ensure robust and scalable server-side logic.

Cloud Integration:

• Deploy, manage, and monitor applications on Google Cloud Platform (GCP).
• Utilize GCP services to enhance application performance and scalability.
• Implement cloud-based solutions for data storage, processing, and analytics.

Collaboration And Communication:

• Work closely with cross-functional teams to define, design, and ship new features.
• Participate in code reviews and contribute to sharing team knowledge.
• Document development processes, coding standards, and project requirements.

Qualifications:

• Educational Background:
• Completed a masters/bachelor degree in Computer Science, Engineering, or a related field.
• Technical Skills:
• Proficiency in Scala programming language.
• Strong experience with React and ReactJS.
• Familiarity with Google Cloud Platform (GCP) and its services.
• Knowledge of front-end development tools and best practices.
• Understanding of RESTful API design and implementation.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies and challenges.

Preferred Qualifications:

• Experience with version control systems such as Git.
• Familiarity with CI/CD pipelines and DevOps practices.
• Understanding of workflow management systems and their requirements.
• Experience with containerization technologies like Docker.

Must have Skills

• Scala - 4 Years
• React.Js - 1 Years
• RESTful API - 4 Years
• Docker - 2 Years
• Python - 3 Years
• Artificial Intelligence - 2 Years

Roles:

-Working on the full stack development (Both Front-end and Back-end)

-Working on any one of the following technologies:

• Java Application Programming

• Web Development with PHP

• Python Application Programming with Django

• Machine Learning

• Data Science

• Artificial Intelligence

• Cyber Security

Eligibility: BCA/MCA 2026/2027 students can apply

Duration: 1-6 months

Perks:

Internship Experience Certificate

Letter of Recommendation

Mode of internship: Online/Offline

Job Responsibilities

• Help develop an analytics platform that integrates insights from diverse data sources.
• Build, deploy, and test machine learning and classification models
• Train and retrain systems when necessary
• Design experiments, train and track performance of machine learning and AI models that meet specific business requirements
• ML and data labelling: Identify ways to gather and build training data with automated data labelling techniques and the creation of highly accurate training datasets.
• Automatic extraction of causal knowledge from diverse information sources such as databases, news, social media, videos and images etc.
• Develop customized machine learning solutions including data querying and knowledge extraction.
• Develop and implement approaches for extracting patterns and correlations from both internal and external data sources using time series machine learning models.
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Distil insights from complex data, communicating findings to technical and non-technical audiences.
• Develop, improve, or expand in-house computational pipelines, algorithms, models, and services used in crop product development.
• Constantly document and communicate results of research on data mining, analysis, and modelling approaches.
• 5+ years of experience working with NLP and ML technologies.
• Proven experience as a Machine Learning Engineer or similar role.
• Experience with NLP/ML frameworks and libraries       
• Proficient with Python scripting language
• Background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
• Demonstrated experience developing and executing machine learning, deep learning, data mining and classification models. Conversant with the latest in NLP and NLU models including transformer architectures and in creating explainable AI
• Ability to communicate the advantages and disadvantages of choosing specific models to various stakeholders
• Proficient with relational databases and SQL. Ability to write efficient queries and optimize the storage and retrieval of data within the database. Experience with creating and working on APIs, Serverless architectures and Containers.
• Creative, innovative, and strategic thinking; willingness to be bold and take risks on new ideas.

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Mandatory Skills: AI : Artificial Intelligence .

Experience: 8-10 Years .

The Role 

We're building AI-powered products and tools for the UK market. We need a Technical Product Manager to own delivery - turning product decisions into shipped software. You'll coordinate developers, manage sprints, and keep everything on track while bringing enough technical depth to make smart trade-off decisions with the team. 

What You'll Do 

• Plan and manage end-to-end delivery of AI product builds 

• Run Agile/Scrum ceremonies and maintain project boards (JIRA or similar) 

• Coordinate with remote development teams across multiple workstreams 

• Break product requirements into user stories, tasks, and sprint plans 

• Track progress, flag risks early, and remove blockers 

• Ensure quality, timelines, and specs are met 

• Contribute technical insight to product feasibility and architecture discussions 

Must Have 

• Minimum 2 years hands-on experience delivering AI/ML products 

• Proven experience as a Technical Product Manager or AI Delivery Lead 

• Strong understanding of AI/ML workflows (NLP, generative AI, LLMs) 

• Solid Agile/Scrum experience 

• Excellent English communication skills 

• Availability during UK working hours  

Nice to Have 

• Experience with agentic AI or AI tooling 

• Scrum Master or SAFe certification 

• Background in software development

• 7+ years in Data, AI, or Advanced Analytics • 3+ years hands-on experience with GenAI / LLM ecosystems • Strong understanding of: ➢ LLM architectures ➢ Prompt engineering ➢ RAG pipelines ➢ AI evaluation frameworks ➢ MLOps & deployment • Experience in regulated industries (Pharma preferred) • Proven consulting or client-facing experience .

Roles and responsibilities: • Combines technical depth + business breadth • Thinks in scalable frameworks, not one-off solutions Driving Innovation, Empowering Insights  • Comfortable speaking to both engineers and VP/SVP/CXOs • Revenue-aware, not just technically strong • High ownership mindset (“runs toward complexity”) • AI-native thinker - uses AI daily to improve productivity 

Shape the future of Generative AI by designing intelligent prompts and RAG systems for enterprise applications.

What you'll do:

• Engineer advanced prompts for GPT-4o, Claude 3.5, Llama 3
• Build Retrieval-Augmented Generation (RAG) pipelines
• Fine-tune open-source LLMs on domain-specific datasets
• Create AI agents with tool calling and memory
• A/B test prompts for accuracy, bias, and response quality
• Develop chatbots for e-commerce, healthcare, legal use cases

What we need:

• Python proficiency, basic ML concepts
• Experience with ChatGPT/Claude APIs
• Strong logical reasoning and writing skills
• Curiosity about LLMs (no PhD required!)

Outcomes:

• Published AI research papers (co-authored)
• Live chatbot deployments in portfolio
• Interview-ready for Prompt Engineer roles

Job Overview

We’re looking for enthusiastic Full Stack Development Interns who are excited to build real-world experience in web development and design. This internship, lasting 1 to 6 months (based on your availability), provides the opportunity to work on real life projects, learn modern web development practices, and develop skills under the guidance of experienced developers.

Responsibilities

• Assist in building and redesigning websites from scratch, ensuring mobile-friendly and user-centric designs.
• Collaborate with the design and development teams to optimize websites for performance, scalability, and SEO.
• Create wireframes and sitemaps to support project planning and improve user experience (UX) design.
• Develop responsive and interactive front-end user interfaces (UI) and assist in back-end tasks for smooth website functionality.
• Participate in project brainstorming sessions to support our development strategies.
• Contribute to troubleshooting, debugging, and testing processes to maintain high-quality standards.
• Follow best practices in clean coding, version control, and web design standards.

Requirements

• A PC or laptop with a stable internet connection.
• Basic understanding of HTML, CSS, and JavaScript is a plus but not mandatory.
• Strong problem-solving skills, attention to detail, and a proactive attitude.
• Comfortable working in a remote environment with an eagerness to learn and adapt.

Benefits

• Hands-on experience in web development with exposure to industry-standard tools and frameworks.
• Mentorship from experienced web developers to support your learning journey.
• Flexible internship duration, from 1 to 6 months, tailored to your goals and availability.
• Potential for a paid stipend based on performance, duration, and project contributions.
• Opportunity to work remotely in a supportive, globally-focused team environment.
• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

We are a Florida-based nonprofit organization seeking a full-time remote AI Programmer to support automation and AI-driven workflows.

Schedule:

42 hours per week

Flexible schedule overlap with EST preferred

Compensation:

$750 to $1,000 + bonus

Long-term contractor role

Responsibilities:

• Build and maintain AI-driven websites, apps, and automation systems
• Work with large language model APIs (OpenAI, Gemini, etc.)
• Improve prompt engineering and structured outputs
• Optimize performance and reliability

Requirements:

• Experience working with APIs (REST, JSON)
• Experience with PHP, React.js, and database systems.
• Familiarity with LLM models and prompt design
• Understanding of automation workflows
• Reliable high-speed internet
• Ability to communicate clearly in English

Preferred (not required):

• Experience with image generation APIs
• Experience with Google Sheets / Apps Script
• Experience deploying lightweight cloud functions

To apply, please reply with:

• Your resume
• Examples of relevant AI or automation work
• GitHub or portfolio (if available)
• Your current location and availability

Qualified applicants will receive a follow-up application link.

About the Role

We are looking for a motivated and detail-oriented Python Developer Intern to join our development team. This internship provides hands-on experience in real-world software development projects, backend systems, APIs, and automation tools.

You will work closely with senior developers and contribute to live projects, gaining practical exposure to modern development practices.

Key Responsibilities

• Assist in developing, testing, and maintaining Python-based applications
• Write clean, efficient, and reusable code
• Work on backend development and API integrations
• Participate in debugging and troubleshooting applications
• Collaborate with cross-functional teams (Design, QA, Data teams)
• Contribute to documentation and project reports
• Learn and apply best practices in software development

Required Skills & Qualifications

• Basic understanding of Python programming
• Familiarity with OOP concepts
• Knowledge of libraries/frameworks such as Django, Flask, or FastAPI (preferred but not mandatory)
• Basic understanding of databases (MySQL, PostgreSQL, or MongoDB)
• Good problem-solving skills
• Ability to work independently and in a team environment
• Strong communication skills

Preferred (Nice to Have)

• Knowledge of REST APIs
• Familiarity with Git/GitHub
• Understanding of HTML, CSS, and JavaScript
• Exposure to cloud platforms (AWS/Azure/GCP)

What You Will Gain

• Real-time project experience
• Mentorship from experienced developers
• Exposure to industry tools and workflows
• Internship Certificate upon successful completion
• Performance-based stipend (if applicable)
• Opportunity for full-time role based on performance

Job Title: Graphic Designer

Experience: 1+ Year

Location: Calicut (Kozhikode)

Joining: Immediate joiners preferred

Job Description:

We are looking for a creative Graphic Designer with 1+ year of experience to join our team at Calicut. The ideal candidate should have a strong design sense, basic UI/UX understanding, and hands-on exposure to video editing and AI tools.

Key Skills Required:

Proficiency in Adobe Creative Suite (Photoshop, Illustrator)

Basic familiarity with Figma

Knowledge of UI/UX design principles

Basics of video editing (Premiere Pro / After Effects)

Working knowledge of AI tools for design and creative tasks

Creativity, attention to detail, and willingness to learn

Head of AI Systems & Operations

Location: Vile Parle (Mumbai)

Company: Lighting Manufacturing Company

Employment Type: Full-Time

Experience: 1–3 Years

Reporting line: Directly to the Founder

About the Company

We are a fast-growing lighting manufacturing company with 150+ employees, strong online sales, and an expanding product portfolio.

We want to build a Tech-Driven company.  As our Sales and Marketing continue to grow rapidly, we now require strong operational systems to scale efficiently.

Role Overview

We are looking for a highly driven and system-oriented individual to take complete ownership of operational structuring and automation across the organization.

This role is focused on building AI-driven systems that bring clarity, control, and scalability, without the need for manual follow-ups or micromanagement.

Key Responsibilities

• Design and implement AI-based operational systems
• Automate inventory, stock monitoring, and supply chain workflows
• Integrate product costing with website listings for real-time margin visibility
• Build auto-check mechanisms for departmental performance
• Create clear dashboards for:
• Sales tracking
• Cost & profit monitoring
• Inventory health
• Dead stock identification
• Ensure all departments operate within structured processes
• Reduce dependency on manual supervision

Required Skills

• Familiarity with automation tools or AI integrations
• Strong logical thinking and system-building mindset
• Understanding of ERP systems / automation tools
• Experience with data tracking, dashboards, or business analytics
• Ability to structure operations in a growing company
• High ownership and accountability

Who Should Apply

• Young professionals looking to take on a high-impact role
• Individuals excited about building systems from scratch
• Candidates who prefer responsibility over routine

Why Join

• Direct exposure to founder-level decision making
• High-growth environment
• Opportunity to build and scale operational systems from the ground up

Note: Compensation will be aligned with industry benchmarks and will not be a limiting factor for the right candidate.

Inflection.io is a venture-backed B2B marketing automation company, enabling to communicate with their customers and prospects from one platform. We're used by leading SaaS companies like Sauce Labs, Postman, BILL, Mural, and Vercel, many of which pay more than $100K/yr (1 crore rupee).

And,... it’s working! We have world-class stats: our largest deal is over 3 crore, we have a 5 star rating on G2, over 100% NRR, and constantly break sales records. We’ve raised $14M in total since 2021 with $7.6M of fresh funding in 2024, giving us many years of runway.

Why Join Us Now?

We’re at a pivotal growth stage, transitioning from a promising startup to a market leader. Joining us means being part of a journey where your contributions directly impact our trajectory. Our compact team of approximately 30 employees ensures that every voice is heard, and innovation is at the forefront.

Our Culture

At Inflection.io, we pride ourselves on fostering a culture of collaboration, continuous learning, and innovation. Our team comprises passionate professionals from diverse backgrounds located across India, USA, and Canada, united by a shared vision to revolutionize B2B marketing automation. We believe in empowering our employees, offering opportunities for rapid growth, and celebrating successes together.

What you’ll be doing

• Shape and evangelize the product vision and roadmap, grounded in customer pain points and Marketing Ops best practices.
• Conduct market research, competitive analysis, and customer interviews to validate opportunities and prioritize features.
• Author clear product requirements, user stories, and acceptance criteria; partner with UX/UI to ensure intuitive user experiences.
• Lead agile ceremonies (planning, grooming, demos), track sprint progress, and re-prioritize backlog based on stakeholder input and data.
• Monitor product performance against key SaaS metrics, identify friction in Marketing Ops workflows, and drive continuous optimization.

Mandatory Qualifications & Skills:

• 5+ years of overall experience, including 3–5 years of hands-on product management in B2B SaaS, with strong exposure to Marketing Operations workflows and tools
• Background in marketing-technology (MAPs, attribution, lead scoring) a strong plus
• Proven track record owning full product lifecycle: ideation, requirement gathering, go-to-market, measurement, and iteration.
• Data-driven decision-maker: comfortable defining success metrics, running experiments, and pivoting based on results.
• Proficiency in using AI coding tools like Claude Code or Cursor.
• Excellent cross-functional collaborator—adept at aligning engineering, design, marketing, sales, and customer success.

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Job Details

- Job Title: Android Developer

- Industry: IT- Services

- Function - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Delhi

- CTC Range: Best in Industry

Criteria:

· Strong technical background in Android application development and Kotlin

· Looking candidates having 5+ years of experience.

· Need candidates from Delhi NCR Only.

· All Academic backgrounds acceptable (except BCA).

· Immediate Joiners Preferred

· Candidate must have some experience working with IoT devices.

· Candidate should have experience working with Camera model X.

· Candidate's Academic scores must be 70% or above.

· Candidate having fluent communication will be an added advantage.

Job Description 

About the Role:

Senior Android Team Lead will be responsible for testing, QC, debugging support for various Android and Java software/servers for products developed or procured by the company. The role includes debugging integration issues, handling on-field deployment challenges, and suggesting improvements or structured solutions. The candidate will also be responsible for scaling the architecture. You will work closely with other team members including Web Developers, Software Developers, Application Engineers, and Product Managers to test and deploy existing products. You will act as a Team Lead to coordinate and organize team efforts toward successful completion or demo of applications. This includes implementing projects from conception to deployment.

Responsibilities:

● Working with the Android SDK, Java, Kotlin, NDK

● Handling different Android versions and screen sizes

● Applying Android UI design principles, patterns, and best practices

Requirements:

● Strong technical background in Android application development and Kotlin

● Solid programming skills

● Detail-oriented with strong attention to specifics

● Excellent written and verbal communication skills

● Strong analytical and quick problem-solving ability

● Ability to quickly document requirements from open discussions

● Fast typing skills for documentation and communication

● Familiarity with JIRA, EPICs, Excel, Google Sheets, and Agile methodologies

● Team player with leadership qualities

● Decision-making ability and team management skills

● Interest in working in a startup environment with cutting-edge products

● Experience with design and architecture patterns

● Understanding of testing processes, debugging, code versioning, and repositories

● UI/UX experience

● Strong knowledge of Java & Kotlin

● Software development experience with strong coding skills

● Experience building services for data delivery to mobile clients

● Experience with relational and non-relational databases

● Knowledge of REST and JSON data handling

● Experience with libraries like Retrofit, RxJava, Dagger 2, Lottie

● Server integration (REST endpoints)

● Experience with AWS stack and Linux

● Apps shipped and available on Google Play

● Backend API development

● Familiarity with Android Studio, Eclipse IDE

● Good knowledge of mobile hardware, software, and operating systems

● Willingness to work in a fast-paced startup environment

● Strong oral communication and presentation skills

● Team-oriented, with a positive approach to technology and engineering

● Result-oriented with a focus on efficiency and timeliness

● Strong self-awareness and ability to work under deadlines

● Proficiency in Microsoft Project, PowerPoint, Excel, Word

● Willingness to mentor and manage team members

● Willing to travel 5–10% of the time for demos, training, and collaboration

Preferred Background:

● Understanding of Artificial Intelligence and Machine Learning

● B.S. / M.S. in Computer Science, Electrical, or Electronics Engineering

● 5+ years’ experience with Android, Java Server, JSP

● Experience with Virtual Reality and Augmented Reality

● Familiarity with Test-Driven Development

● Background in CS or ECE

● Python experience is a big plus

● iOS development knowledge (not mandatory)

● Strong foundation in data structures and algorithms

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

Head of Product & Technology (CTPO – AI & Product), Miror

Miror is an early-stage, AI-driven health platform focused on women’s health, translating clinical and hormonal health protocols into scalable digital solutions for women in midlife. We are seeking a Head of Product & Technology (CTPO) who will own the end-to-end product vision and roadmap, lead AI-powered product development, and partner closely with a small engineering team to deliver impactful features.

The Role

You will sit at the intersection of healthcare, AI, product, and engineering, defining what we build, why it matters, and in what order. This is a hands-on leadership role for someone who can set strategy for women’s health and AI, while remaining close to discovery, design, and delivery with engineers.

Key responsibilities

Product leadership

·       Own and define the product roadmap aligned with Miror’s vision of holistic menopausal care and long-term health outcomes.    

·       Lead discovery to deeply understand user needs across symptoms, lifestyle, mental health, and engagement, especially for women navigating peri/menopause.

·       Translate clinical and hormonal health protocols into user-friendly digital journeys and AI-assisted experiences.

·       Design and iterate on features for symptom tracking and trend analysis, protocol adherence and personalization, community engagement, and integration of supplements, diet, and consultations.

·       Balance short-term MVP execution with long-term platform scalability and data foundations.

AI and technical ownership (product side)

·       Work with the team to select and refine AI approaches (APIs vs custom models, retrieval-augmented generation vs fine-tuning, guardrails, evaluation strategies) aligned with user value, safety, and constraints in a health context.

·       Define user experience patterns for AI, including prompting, input/output flows, user controls, transparency, and safety expectations.

·       Contribute to evaluation and monitoring frameworks for quality, safety, and latency so AI features are reliable, clinically responsible, and privacy aware.

·       Collaborate with engineers as the technical authority on high-level architecture for apps, backend, data pipelines, analytics, and integrations.

·       Make pragmatic build vs buy decisions and manage external vendors or development partners when needed.

Roadmap and prioritization

·       Translate company and user goals into a clear, prioritized 3–6-month roadmap with a strong emphasis on AI-powered experiences.

·       Identify, validate, and prioritize AI use cases such as intake and assessment flows, symptom triage, coaching copilots, personalization, and insight dashboards.

Define analytics requirements and feedback loops to measure impact and enable rapid experimentation and iteration.

Delivery with the engineering team

·       Facilitate product rituals for the engineering team, including backlog grooming, sprint planning, and asynchronous check-ins.

Ensure the team focuses on high-impact problems and that scope supports rapid learning rather than over-building.

Collaborate with engineers to determine sequencing, including what to prioritize for MVP, what to refine, and what to defer.

Communicate complex technical and product concepts clearly to non-technical stakeholders, including the founder and clinical experts.

Healthcare, compliance, and clinical grounding

·       Work closely with medical advisors, doctors, and nutrition experts to ensure clinical credibility in all product and AI experiences.

·       Ensure the product and data architecture align with healthcare regulations and data privacy standards relevant to women’s health.

·       Help establish frameworks for evidence-based recommendations and protocol validation over time.

Ideal candidate profile

Experience

·       8–10 years in product management, technology leadership, or engineering, with increasing ownership of roadmap, requirements, and delivery.

·       Experience as an AI Product Manager, Technical Product Manager, or similar role working closely with a small engineering team.

·       Proven track record of building and scaling consumer-facing digital products, ideally including at least one AI or large language model-powered product (e.g., chatbot, copilot, personalization system, or workflow automation).

·       Prior experience in healthcare, health tech, wellness, or femtech strongly preferred; experience with health data, behavior change, or regulated environments is a plus.

Skills and competencies

·       Strong product thinking with deep empathy for women navigating peri/menopause and midlife health challenges.

Solid technical foundation: able to read code and architectural diagrams, discuss trade-offs with engineers, and prototype with APIs or LLMs without being the primary individual contributor.

Ability to translate medical and scientific concepts into usable digital experiences and AI-assisted flows.

·       Data-driven mindset, comfortable using analytics and experiments to inform decisions.

·       Comfortable operating in ambiguity and early-stage environments, with a bias toward action and learning.

Engagement details

·       Type: Part-time or contract, with potential for extension or evolution into a longer-term leadership role if there is strong mutual fit

·       Hours: Approximately 15–20 hours per week to start, with flexibility for the right candidate.

·       Duration: Initial 12-week engagement focused on defined outcomes, with the option for ongoing collaboration.

·       Remote position with some overlap required with India or US time zones.

Initial milestone (first 4–6 weeks)

·       Co-create a six-month, AI-focus8-weekduct and technology roadmap for Miror, including clear problem statements, sequencing, and success metrics.

·       Take ownership of one flagship AI feature from concept to launch (for example, a perimenopause assessment or AI coaching companion), including discovery, PRD, user experience flow, and guiding engineers through implementation and launch.

·       Establish foundational product and delivery processes with the engineering team (backlog management, rituals, and metrics) to ensure continuity after the initial engagement.

Job Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

About the Job :

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.

Job Description:

We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.

Responsibilities:

• Design, develop, and deploy AI models and algorithms.
• Conduct data analysis and pre-processing to prepare data for modeling.
• Implement and optimize machine learning algorithms.
• Collaborate with software engineers to integrate AI models into production systems.
• Evaluate and improve the performance of existing AI models.
• Stay updated with the latest advancements in AI research and apply them to enhance our products.
• Provide technical guidance and mentorship to junior team members.

Requirements:

• Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
• Proven experience in developing and implementing machine learning models and algorithms.
• Strong programming skills in languages such as Python, R, or Java.

Benefits :

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

About the job

We are looking for a motivated and enthusiastic Web Development Intern to join our team. As an intern, you will have the opportunity to work on exciting web projects and gain hands-on experience in front-end and back-end development. This internship is designed to provide you with a solid foundation in web development while contributing to real-world projects.

Eligibility

• Access to a PC or Laptop with a reliable internet connection.
• Good understanding of the English language.
• Any graduate with a desire to become a web developer. Freshers are welcome.
• Knowledge of HTML, CSS, and JavaScript is a plus but NOT mandatory.

Freshers are encouraged to apply. Comprehensive training will be provided, so no prior coding experience is necessary.

Responsibilities

• Creating new websites from scratch.
• Redesigning and rebuilding existing websites.
• Creating sitemaps and designing wireframes.
• Collaborating with teams and managing workspaces.
• Creating effective content to ensure user engagement.
• Working on Front-End development to create interactive User Interfaces (UI).
• Building easy navigation for a solid User Experience (UX).
• Working on Back-End development to ensure fast and error-free website performance.

Benefits

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

Roles & Responsibilities:

● Develop and maintain Android applications using Kotlin & Java

● Build modern, responsive UI using Jetpack Compose

● Work with MVVM architecture and follow Android best practices

● Integrate REST APIs and third-party libraries

● Use AI tools (ChatGPT, GitHub Copilot, etc.) to improve development efficiency

● Collaborate with designers, developers, and stakeholders

● Debug, optimize performance, and ensure app quality

Requirements:

● 2–4 years of hands-on experience in Android development (Kotlin)

● Strong experience with Jetpack Compose & Strong debugging skills

● Good understanding of MVVM architecture and Android lifecycle

● Experience with REST APIs and third-party integrations

● Familiarity with AI-powered development tools

● Knowledge of Git/version control

● Strong problem-solving skills and attention to detail

● Good communication and teamwork skills

AI Automation Engineer – Intelligent Systems

(AI Generalist – Automation & Intelligent Systems)

📍 Location: Bengaluru (Onsite)

🏢 Company: Learners Point Academy

📊 Reporting To: Head

🕒 Employment Type: Full-Time

🎯 Role Summary

Learners Point Academy is seeking a hands-on AI Automation Engineer to architect, deploy, and scale intelligent automation systems across Sales, Marketing, Academics, Operations, Finance, and Customer Experience.

🧠 What This Role Requires:

• A Systems Thinker
• A Hands-on Builder
• An Automation Architect
• An AI Deployment Specialist

Core Responsibilities

1️⃣ Operational Workflow Automation

• Automate CRM workflows (Bitrix24 / Zoho or similar)
• Build intelligent lead scoring systems
• Auto-generate proposals from structured CRM inputs
• Deploy WhatsApp automation with tiered logic
• Design cross-functional task routing systems
• Implement automated follow-up sequences
• Build cross-department reporting pipelines

2️⃣ AI Agents & Intelligence Systems

• Build internal AI Sales Assistant (copilot model)
• Develop Academic AI Assistant (summaries, grading support)
• Create AI-powered reporting dashboards
• Build centralized AI knowledge base
• Develop customer segmentation intelligence
• Implement predictive closure timeline models

3️⃣ LMS & Assessment Automation

• Design AI-powered quiz generation systems
• Implement auto-grading frameworks
• Integrate Zoom attendance with LMS tracking
• Automate certification workflows
• Build student performance dashboards
• Ensure seamless LMS–CRM synchronization

4️⃣ Revenue & Growth Intelligence

• Develop pipeline scoring engines
• Deploy sales copilot (email drafting, objection handling)
• Build AI-driven pricing optimization tools
• Design churn prediction logic
• Automate ad spend tracking systems
• Create performance intelligence dashboards

5️⃣ AI Architecture & Governance

• Define AI usage SOPs
• Maintain structured prompt libraries
• Document system architecture & workflows
• Ensure scalable, secure system design
• Build reusable frameworks — avoid patchwork automation

🔧 Required Technical Skills

Mandatory:

• Workflow Automation: Zapier / Make / n8n
• CRM Automation (Bitrix24 / Zoho / similar)
• LLM API Integration (OpenAI, Claude, etc.)
• REST APIs & Webhook Integrations
• Python or JavaScript scripting
• Google Workspace Automation
• Business Process Automation Design

Good to Have

• Lang Chain or AI Agent Frameworks
• Vector Databases & RAG Systems
• Whats App Business API Integration
• Workflow Orchestration Tools
• BI Tools (Power BI / Looker)
• LMS Integration Experience

🎓 Qualifications

• Bachelor’s / Master’s in Engineering, Computer Science, AI, or related field
• 3–6 years experience in AI deployment, automation, or systems integration
• Demonstrated experience implementing automation in business environments
• Portfolio of deployed AI systems (production-grade, not academic-only)

📈 Ideal Candidate Profile

You:

• Think in systems, not scripts
• Understand real-world business workflows
• Have deployed AI agents in production
• Can connect CRM + LMS + Communication tools seamlessly
• Can explain technical architecture clearly to leadership
• Prefer measurable business impact over experimental prototypes

🚫

This Role Is NOT For

• Pure ML researchers
• Academic AI model developers
• Candidates without business automation exposure
• Candidates without real deployment experience

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

About Us

AtDrive Infotech is a forward-thinking IT company dedicated to delivering innovative solutions using cutting-edge web technologies. We are passionate about creating intelligent, scalable, and cohesive applications that drive impact. We are seeking skilled Web Developers to join our dynamic team and contribute to transformative projects.

Key Responsibilities

• Design, architect, and develop secure, high-performance, and scalable web solutions.
• Manage the full application lifecycle, including concept, design, development, testing, deployment, release, and ongoing support.
• Create engaging, device-specific user interfaces to enhance user experience.
• Develop and maintain robust APIs to support seamless integration and functionality.
• Participate actively in all phases of the software development lifecycle.
• Provide technical and architectural leadership to development teams.

Qualifications

• Bachelor’s or Master’s degree in Engineering, specializing in Computer Science, Information Technology, or a related field.
• Minimum of 1 year of relevant experience in web design and development.

Desired Skills and Experience

• Core Technical Skills:
• Strong expertise in Angular for building dynamic, client-side applications.
• Proficiency in Node.js for developing scalable server-side applications.
• Advanced knowledge of MySQL for designing and managing relational databases.
• Expertise in API Development for creating secure, efficient, and scalable APIs to support application functionality and third-party integrations.
• Hands-on experience with web technologies: JavaScript, Bootstrap, jQuery, HTML5, CSS, and open-source platforms.
• Proficiency in CSS customization and MVC frameworks.
• Experience with AJAX, XML, and e-commerce platforms.
• AI Knowledge:
• Familiarity with AI concepts and their application in web development (e.g., integrating AI-driven features or APIs).
• Client Communication:
• Exceptional written and verbal communication skills in English, with the ability to effectively collaborate with clients and stakeholders.
• Additional Skills:
• Real-time testing capabilities during development to ensure quality.
• Exposure to client-side technologies like AngularJS is a plus.
• Ability to work independently and collaboratively within a team.
• Strong dedication and commitment to delivering high-quality work.

Personal Attributes

• Thrives in a fast-paced, dynamic environment with a focus on quality and efficiency.
• Strong problem-solving and troubleshooting skills.
• Excellent interpersonal and communication skills (both verbal and written).
• Ability to prioritize and manage multiple tasks to meet tight deadlines.
• Self-motivated with the ability to work with minimal supervision.
• Innovative and proactive approach to problem-solving.
• Flexible and adaptable, with a strong sense of ownership for resolving challenges.
• Capable of multitasking under pressure while maintaining high standards.

Evaluation Criteria

Candidates will be assessed based on the following key parameters:

• Angular Expertise: Demonstrated ability to build robust, dynamic web applications using Angular.
• Node.js Proficiency: Experience in developing efficient, scalable server-side applications.
• MySQL Competence: Strong skills in designing and optimizing relational databases.
• API Development: Proficiency in designing and implementing secure, efficient, and scalable APIs.
• AI Knowledge: Understanding of AI concepts and their practical application in web development.
• Client Communication: Ability to clearly articulate technical concepts and collaborate effectively with clients.

Why Join Us?

If you are passionate about web development, eager to work on challenging projects, and ready to contribute to AtDrive Infotech’s success, we invite you to apply. Join our team and be part of an exciting journey to shape the future of technology!

Apply Now: Share your resume and portfolio to embark on a rewarding career with AtDrive Infotech.

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.

We are looking for a passionate AI/ML Intern with hands-on exposure to Large Language Models (LLMs), fine-tuning techniques like LoRA, and strong fundamentals in Data Structures & Algorithms (DSA). This role is ideal for someone eager to work on real-world AI applications, experiment with open-source models, and contribute to production-ready AI systems.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (6-8 LPA).

Compensation:

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

Key Responsibilities

• Work on Large Language Models (LLMs) for real-world AI applications.
• Implement and experiment with LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
• Perform model fine-tuning, evaluation, and optimization.
• Engage in prompt engineering to improve model outputs and performance.
• Develop backend services using Python for AI-powered applications.
• Utilize GitHub for version control, including managing branches, pull requests, and code reviews.
• Work with AI platforms such as Hugging Face and OpenAI to deploy and test models.
• Collaborate with the team to build scalable and efficient AI solutions.

Must-Have Skills

• Strong proficiency in Python.
• Hands-on experience with LLMs (open-source or API-based).
• Practical knowledge of LoRA or other parameter-efficient fine-tuning techniques.
• Solid understanding of Data Structures & Algorithms (DSA).
• Experience with GitHub and version control workflows.
• Familiarity with Hugging Face Transformers and/or OpenAI APIs.
• Basic understanding of Deep Learning and NLP concepts.

🤖 Robotics Engineer

Company: Pentabay Softwares

Location: Anna Salai (Mount Road), Chennai

Employment Type: Full-Time

🔹 Job Summary

Pentabay Softwares is seeking a highly skilled and innovative Robotics Engineer to design, develop, test, and implement robotic systems and automation solutions. The ideal candidate will have strong technical expertise in robotics programming, control systems, and hardware integration, along with a passion for building intelligent and efficient systems.

🔹 Key Responsibilities

Design, develop, and test robotic systems and automation solutions

Develop and implement control algorithms and motion planning systems

Integrate sensors, actuators, and embedded systems

Program robots using languages such as Python, C++, or ROS

Troubleshoot, debug, and optimize robotic applications

Collaborate with cross-functional teams including software, hardware, and AI engineers

Ensure compliance with safety and quality standards

Document system architecture, processes, and technical specifications

🔹 Required Qualifications

Bachelor’s or Master’s degree in Robotics, Mechatronics, Mechanical, Electronics, or related field

2+ years of experience in robotics development (preferred)

Strong knowledge of robotics frameworks (e.g., ROS)

Experience with microcontrollers, embedded systems, and sensor integration

Familiarity with AI/ML concepts is a plus

Strong analytical and problem-solving skills

🔹 Preferred Skills

Experience with computer vision systems

Knowledge of SLAM, kinematics, and motion planning

Experience with industrial automation or autonomous systems

Strong teamwork and communication skills

🌟 Why Join Pentabay Softwares?

Work on innovative and future-focused technologies

Collaborative and growth-oriented work culture

Opportunities for skill development and career advancement

Exposure to cutting-edge automation and AI-driven projects

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

Job Description -

Profile: AI/ML

Experience: 4-8 Years

Mode: Remote

Mandatory Skills - AI/ML, LLM, RAG, Agentic AI, Traditional ML,  GCP

Must-Have:

● Proven experience as an AI/ML specifically with a focus on Generative AI and Large Language Models (LLMs) in production.

● Deep expertise in building Agentic Workflows using frameworks like LangChain, LangGraph, or AutoGen.

● Strong proficiency in designing RAG (Retrieval-Augmented Generation) 

● Experience with Function Calling/Tool Use in LLMs to connect AI models with external APIs (REST/gRPC) for transactional tasks

● Hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI, Model Garden, and deploying models on GPUs

● Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).

Why Antier?

In today’s digital world, technology is no longer just a support function — it is the primary driver of business growth. Organizations across industries are actively adopting Artificial Intelligence and emerging technologies to automate operations, improve decision-making, and build new digital products.

Antier enables this transformation.

We harness leading-edge technologies and deliver forward-thinking solutions that help businesses modernize systems, create intelligent workflows, and unlock long-term value.

With a 600+ strong team of engineers, architects, and technology specialists, Antier has established itself as a global engineering partner in Blockchain and Web3. Building on this foundation, Antier is now expanding its Artificial Intelligence vertical, helping organizations implement:

• Generative AI & LLM powered applications
• AI copilots & enterprise assistants
• Business process automation
• Predictive analytics & data intelligence platforms
• AI integrations into SaaS and enterprise products

We are looking for a sales professional who can understand business problems and position AI as a practical solution — not just a technology pitch.

Role Overview

We are seeking a highly motivated and results-oriented Business Development Manager – AI to drive new client acquisition and revenue growth for Antier’s AI solutions.

The role involves identifying opportunities, engaging decision-makers, running discovery conversations, and converting business challenges into AI solution engagements. You will work closely with solution architects and technical teams during pre-sales and proposal stages.

Key Responsibilities

Opportunity Generation

• Research and identify new business opportunities, markets, and industries adopting AI
• Prospect startups, funded companies, SaaS platforms, and enterprises
• Generate leads via outbound channels (LinkedIn, email, events, networking)
• Identify and reach key stakeholders (CTO, Head of Product, Innovation, Operations leaders)

Consultative Selling

• Conduct discovery calls to understand client business challenges
• Translate business requirements into AI solution opportunities
• Present Antier’s AI capabilities and use-cases to clients
• Coordinate with technical teams for solutioning and effort estimation
• Prepare tailored proposals, capability decks, and commercial discussions

Pipeline & Revenue Management

• Build and manage a qualified sales pipeline
• Negotiate commercials and close deals
• Maintain CRM updates and reporting discipline
• Forecast revenue and present progress to leadership
• Consistently achieve monthly and quarterly targets

Client Relationship Management

• Develop long-term client relationships and identify upsell opportunities
• Act as the primary point of contact during pre-sales and onboarding
• Ensure a smooth handover to delivery teams

Market Awareness

• Stay updated with trends in Generative AI, automation, and enterprise adoption
• Monitor competitor offerings and market positioning
• Provide feedback to marketing for campaigns and messaging

Preferred Skill Sets

1. 4–6 years experience in IT Services / Technology Consulting sales
2. Experience selling AI, Data, SaaS, Cloud, Automation, or Product Engineering services
3. Strong understanding of Generative AI use-cases (Chatbots, copilots, automation, analytics)
4. Experience in outbound sales and lead generation
5. Excellent communication and presentation skills
6. Ability to interact with technical and business stakeholders
7. Negotiation and closing ability
8. Self-driven, target-oriented, and proactive mindset
9. Strategic thinking and problem-solving ability
10. Experience in Management Consultancy or Blockchain industry is a plus

What Will Make You Successful in This Role

• Ability to ask the right business questions (not just pitch services)
• Comfort discussing AI use-cases with decision makers
• Ownership of pipeline and closures
• Consistent outbound effort and relationship building

Why Join Antier?

• Work on cutting-edge AI and emerging technologies
• Exposure to global clients and funded startups
• High-ownership role with fast career growth
• Opportunity to build and scale a new business vertical

JOB DETAILS:

* Job Title: Principal Data Scientist

* Industry: Healthcare

* Salary: Best in Industry

* Experience: 6-10 years

* Location: Bengaluru

Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Criteria:

1. Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
2. Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
3. Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
4. Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
5. Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.

Job Description

Principal Data Scientist

(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Job Details

• Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
• Location: Hebbal Ring Road, Bengaluru
• Work Mode: Work from Office
• Shift: Day Shift
• Reporting To: SVP
• Compensation: Best in the industry (for suitable candidates)

Educational Qualifications

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Experience Required

• 7+ years of experience solving real-world problems using:
• Natural Language Processing (NLP)
• Automatic Speech Recognition (ASR)
• Large Language Models (LLMs)
• Machine Learning (ML)
• Preferably within the healthcare domain
• Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable

Role Overview

This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.

We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:

• Reduce administrative burden in EMR data entry
• Improve provider satisfaction and productivity
• Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.

Key Responsibilities

AI Strategy & Solution Development

• Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI
• Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation
• Develop and integrate Agentic AI frameworks enabling multi-agent collaboration
• Design scalable, reusable, and production-ready AI frameworks for speech and text analytics

Model Development & Optimization

• Fine-tune, train, and optimize large-scale NLP and ASR models
• Develop and optimize ML algorithms for speech, text, and structured healthcare data
• Conduct rigorous testing and validation to ensure high clinical accuracy and performance
• Continuously evaluate and enhance model efficiency and reliability

Cloud & MLOps Implementation

• Architect and deploy AI models on AWS, Azure, or GCP
• Deploy and manage models using containerization, Kubernetes, and serverless architectures
• Design and implement robust MLOps strategies for lifecycle management

Integration & Compliance

• Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR
• Integrate AI systems with EHR/EMR platforms
• Implement ethical AI practices, regulatory compliance, and bias mitigation techniques

Collaboration & Leadership

• Work closely with business analysts, healthcare professionals, software engineers, and ML engineers
• Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures
• Mentor and lead junior data scientists and engineers
• Contribute to AI research, publications, patents, and long-term AI strategy

Required Skills & Competencies

• Expertise in Machine Learning, Deep Learning, and Generative AI
• Strong Python programming skills
• Hands-on experience with PyTorch and TensorFlow
• Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)
• Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)
• Experience with text embeddings and vector databases
• Proficiency in cloud platforms (AWS, Azure, GCP)
• Experience with LangChain, OpenAI APIs, and RAG architectures
• Knowledge of agentic AI frameworks and reinforcement learning
• Familiarity with Docker, Kubernetes, and MLOps best practices
• Understanding of FHIR, HL7, HIPAA, and healthcare system integrations
• Strong communication, collaboration, and mentoring skills

About RapidClaims

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and >99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Engineering Manager- Job Overview

We are looking for an Engineering Manager who can lead a team of engineers while

staying deeply involved in technical decisions. This role requires a strong mix of people

leadership, system design expertise, and execution focus to deliver high-quality product

features at speed. You will work closely with Product and Leadership to translate

requirements into scalable technical solutions and build a high-performance engineering

culture.

Key Responsibilities:

● Lead, mentor, and grow a team of software engineers

● Drive end-to-end ownership of product features from design to deployment

● Work closely with Product to translate requirements into technical solutions

● Define architecture and ensure scalability, reliability, and performance

● Establish engineering best practices, code quality, and review standards

● Improve development velocity, sprint planning, and execution discipline

● Hire strong engineering talent and build a solid team

● Create a culture of accountability, ownership, and problem-solving

● Ensure timely releases without compromising quality

● Stay hands-on with critical technical decisions and reviews

.

Requirements:

● 5+ years of software engineering experience, with 2+ years in team leadership

● Strong experience in building and scaling backend systems and APIs

● Experience working in a product/startup environment

● Good understanding of system design, architecture, and databases

● Ability to manage engineers while remaining technically credible

● Strong problem-solving and decision-making skills

● Experience working closely with Product teams

● High ownership mindset and bias for action

Good to Have

● Experience in healthcare tech / automation / RPA / AI tools

● Experience building internal tools and workflow systems

● Exposure to cloud infrastructure (AWS/GCP/Azure)

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

 JOB DETAILS:

* Job Title: Head of Engineering/Senior Product Manager

* Industry: Digital transformation excellence provider

* Salary: Best in Industry

* Experience: 12-20 years

* Location: Mumbai

Job Description

Role Overview

The VP / Head of Technology will lead company’s technology function across engineering, product development, cloud infrastructure, security, and AI-led initiatives. This role focuses on delivering scalable, high-quality technology solutions across company’s core verticals including eCommerce, Procurement & e-Sourcing, ERP integrations, Sustainability/ESG, and Business Services.

This leader will drive execution, ensure technical excellence, modernize platforms, and collaborate closely with business and delivery teams.

Roles and Responsibilities:

Technology Execution & Architecture Leadership

·        Own and execute the technology roadmap aligned with business goals.

·        Build and maintain scalable architecture supporting multiple verticals.

·        Enforce engineering best practices, code quality, performance, and security.

·        Lead platform modernization including microservices, cloud-native architecture, API-first systems, and integration frameworks.

Product & Engineering Delivery

·        Manage multi-product engineering teams across eCommerce platforms, procurement systems, ERP integrations, analytics, and ESG solutions.

·        Own the full SDLC — requirements, design, development, testing, deployment, support.

·        Implement Agile, DevOps, CI/CD for faster releases and improved reliability.

·        Oversee product/platform interoperability across all company systems.

Vertical-Specific Technology Leadership

Procurement Tech:

·        Lead architecture and enhancements of procurement and indirect spend platforms.

·        Ensure interoperability with SAP Ariba, Coupa, Oracle, MS Dynamics, etc.

eCommerce:

·        Drive development of scalable B2B/B2C commerce platforms, headless commerce, marketplace integrations, and personalization capabilities.

Sustainability/ESG:

·        Support development of GHG tracking, reporting systems, and sustainability analytics platforms.

Business Services:

·        Enhance operational platforms with automation, workflow management, dashboards, and AI-driven efficiency tools.

Data, Cloud, Security & Infrastructure

·        Own cloud infrastructure strategy (Azure/AWS/GCP).

·        Ensure adherence to compliance standards (SOC2, ISO 27001, GDPR).

·        Lead cybersecurity policies, monitoring, threat detection, and recovery planning.

·        Drive observability, cost optimization, and system scalability.

AI, Automation & Innovation

·        Integrate AI/ML, analytics, and automation into product platforms and service delivery.

·        Build frameworks for workflow automation, supplier analytics, personalization, and operational efficiency.

·        Lead R&D for emerging tech aligned to business needs.

Leadership & Team Management

·        Lead and mentor engineering managers, architects, developers, QA, and DevOps.

·        Drive a culture of ownership, innovation, continuous learning, and performance accountability.

·        Build capability development frameworks and internal talent pipelines.

Stakeholder Collaboration

·        Partner with Sales, Delivery, Product, and Business Teams to align technology outcomes with customer needs.

·        Ensure transparent reporting on project status, risks, and technology KPIs.

·        Manage vendor relationships, technology partnerships, and external consultants.

Education, Training, Skills, and Experience Requirements:

Experience & Background

·        16+ years in technology execution roles, including 5–7 years in senior leadership.

·        Strong background in multi-product engineering for B2B platforms or enterprise systems.

·        Proven delivery experience across: eCommerce, ERP integrations, procurement platforms, ESG solutions, and automation.

Technical Skills

·        Expertise in cloud platforms (Azure/AWS/GCP), microservices architecture, API frameworks.

·        Strong grasp of procurement tech, ERP integrations, eCommerce platforms, and enterprise-scale systems.

·        Hands-on exposure to AI/ML, automation tools, data engineering, and analytics stacks.

·        Strong understanding of security, compliance, scalability, performance engineering.

Leadership Competencies

·        Execution-focused technology leadership.

·        Strong communication and stakeholder management skills.

·        Ability to lead distributed teams, manage complexity, and drive measurable outcomes.

·        Innovation mindset with practical implementation capability.

Education

·        Bachelor’s or Master’s in Computer Science/Engineering or equivalent.

·        Additional leadership education (MBA or similar) is a plus, not mandatory.

Travel Requirements

·        Occasional travel for client meetings, technology reviews, or global delivery coordination.

Must-Haves

·        10+ years of technology experience, with with at least 6 years leading large (50-100+) multi product engineering teams.

·        Must have worked on B2B Platforms. Experience in Procurement Tech or Supply Chain

·        Min. 10+ Years of Expertise in Cloud-Native Architecture, Expert-level design in Azure, AWS, or GCP using Microservices, Kubernetes (K8s), and Docker.

·        Min. 8+ Years of Expertise in Modern Engineering Practices, Advanced DevOps, CI/CD pipelines, and automated testing frameworks (Selenium, Cypress, etc.).

·        Hands-on leadership experience in Security & Compliance.

·        Min. 3+ Years of Expertise in AI & Data Engineering, Practical implementation of LLMs, Predictive Analytics, or AI-driven automation

·        Strong technology execution leadership, with ownership of end-to-end technology roadmaps aligned to business outcomes.

·        Min. 6+ Years of Expertise in B2B eCommerce Logic Architecture of Headless Commerce, marketplace integrations, and complex B2B catalog management.

·        Strong product management exposure

·        Proven experience in leading end-to-end team operations

·        Relevant experience in product-driven organizations or platforms

·        Strong Subject Matter Expertise (SME)

Education: - Master degree.

**************

Joining time / Notice Period: Immediate - 45days.

Location: - Andheri,

5 days working (3 - 2 days’ work from office)

Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

ME / M.Tech in Computer Science Engineering / Information Technology

Ph.D. (Preferred but not mandatory)

First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

Deliver high-quality lectures for UG / PG programs

Prepare lesson plans, course materials, and academic content

Guide student projects and internships

Participate in curriculum development and academic planning

Conduct internal assessments, evaluations, and result analysis

Mentor students for academic and career growth

Participate in departmental research activities

Publish research papers in reputed journals (Scopus/SCI preferred)

Attend Faculty Development Programs (FDPs), workshops, and conferences

Contribute to NAAC / NBA accreditation processes

Support institutional administrative responsibilities

💡 Required Skills:

Strong subject knowledge in CSE / IT domains

Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)

Excellent communication and presentation skills

Research orientation and academic enthusiasm

Team collaboration and mentoring ability

Role & Responsibilities:

As a Product Designer (Growth), you'll be the design force behind our growth initiatives—obsessing over conversion funnels, user onboarding, engagement mechanics, and monetization touchpoints. You'll combine deep UX expertise with growth hacking mindset, leveraging data and experimentation to design experiences that drive measurable business impact. We're looking for a metrics-driven, hypothesis-oriented designer who thrives on turning insights into scalable growth levers.

What You’ll Do-

• Drive growth-focused design initiatives across acquisition, activation, retention, and revenue optimization
• Design and optimize conversion funnels from first touch to long-term engagement, focusing on key growth metrics (CAC, LTV, retention rates, conversion rates)
• Lead experimentation through design—create A/B tests, landing page variants, onboarding flows, and feature experiments that drive statistically significant improvements
• Own critical growth touchpoints including signup flows, profile completion, subscription conversions, re-engagement campaigns, and referral mechanisms
• Translate growth insights into design solutions—turn user behavior data, cohort analyses, and business requirements into high-impact user experiences
• Design scalable growth systems—create templates, frameworks, and design patterns that enable rapid testing and iteration across growth initiatives
• Collaborate with Growth PMs, Data Analysts, and Engineers to identify growth opportunities, prioritize experiments, and measure design impact on key business metrics
• Optimize post-launch performance through continuous testing, user feedback integration, and data-driven design iterations
• Establish growth design culture by championing experimentation, sharing learnings, and mentoring team members on growth-focused design thinking

Growth-Specific Focus Areas:

• User acquisition and conversion optimization
• Onboarding and activation experience design
• Subscription and monetization flow optimization
• Retention and re-engagement campaign design
• Referral and viral growth mechanism design
• Personalization and recommendation interface design

Ideal Candidate

• Masters/Bachelor's from premier institutions (IIT, BITS, NID)
• 5 -8 years of full-stack product design experience with proven growth impact
• Strong portfolio demonstrating conversion optimization and growth-focused design solutions
• Experience with growth experimentation, A/B testing, and data-informed design decisions
• Proficiency in Figma, prototyping tools, analytics platforms, and growth measurement tools
• Understanding of subscription business models, pricing psychology, and monetization strategies
• Experience designing for both web and mobile platforms at scale
• Strong analytical mindset with ability to translate business metrics into design solutions
• Knowledge of user acquisition channels and performance marketing touchpoints

Bonus Traits:

• Experience in subscription-based or marketplace products
• Background in conversion rate optimization (CRO)
• Understanding of international market expansion and localization
• Experience with AI-powered personalization and recommendation systems

Role Overview:

As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.

Key Responsibilities:

• Design and develop backend solutions using Python, with a focus on AI-driven features.
• Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
• Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
• Translate business needs into AI use cases and deliver working solutions.
• Collaborate with product, engineering, and data teams to define integration workflows.
• Develop REST APIs and micro services to deploy AI components within applications.
• Maintain and optimize AI systems for scalability, performance, and reliability.
• Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.

Required Skills & Qualifications:

• 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
• Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
• Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
• Solid understanding of REST APIs, micro services, and integration practices
• Ability to work independently in a remote setup with strong communication and ownership
• Excellent problem-solving and debugging capabilities
• Experience with the MERN stack will be an added advantage.

Job Description for Digital Marketing Specialist

Job Title: Digital Marketing Specialist

Company: Mydbops

Location: Pondicherry

About Mydbops

Mydbops is a leading database consulting and managed services company specialising in open-source database technologies. With a team of 120+ certified professionals, we support over 800+ clients globally across 3,000+ database instances. We're also an AWS Advanced Consulting Partner, delivering high-impact, cost-efficient database solutions at scale.

Role Summary:

We're looking for a data-driven Digital Marketing Executive who can execute B2B campaigns, create compelling content, and most importantly—track, analyze, and optimize marketing performance with strong analytical rigor. This role requires someone who can bridge technical database services marketing with measurable ROI-focused campaign execution.

Key Responsibilities

• Campaign Management & Execution
• Plan, execute, and optimize Google Ads, LinkedIn Ads, and Meta campaigns for B2B database services
• Manage end-to-end campaign workflows including audience targeting, ad creative, budget allocation, and performance tracking
• Develop and execute lead generation strategies targeting CTOs, IT Managers, and DevOps teams

Analytics & Data-Driven Decision Making (Critical Requirement)

• Set up and maintain Google Analytics 4, Google Tag Manager, and conversion tracking systems
• Build comprehensive campaign performance dashboards with actionable insights
• Analyze campaign data to identify trends, optimize spend, and improve conversion rates
• Provide weekly/monthly performance reports with clear recommendations
• Track full-funnel metrics: impressions, CTR, CPC, conversions, lead quality, and ROI
• Conduct A/B testing and implement data-backed improvements

Content & Creative Development

• Create social media graphics, ad creatives, and marketing collateral using Canva or similar tools
• Collaborate with technical teams to translate complex database concepts into compelling marketing messages
• Design infographics and explainer visuals for technical blog posts and LinkedIn content

Technical Collaboration

• Work closely with DBAs and technical staff to understand product offerings and client pain points
• Develop technically accurate marketing content for database optimization, migration, and managed services
• Stay updated on database industry trends and competitive landscape

AI & Automation

• Leverage AI tools and LLMs for content generation, campaign optimization, and workflow automation
• Explore and implement marketing automation tools to improve efficiency

Must-Have Skills

Analytics & Tools (Non-negotiable)

• Strong proficiency in Google Analytics (GA4), Google Tag Manager, and Google Search Console
• Experience setting up conversion tracking, UTM parameters, and attribution models
• Ability to analyze data and extract actionable insights
• Excel/Google Sheets proficiency for data analysis and reporting

Campaign Management

• 3+ years managing Google Ads and LinkedIn Ads campaigns with proven ROI
• Experience with B2B lead generation and marketing funnel optimization

Design & Content

• Proficiency in Canva, Figma, or Adobe Creative Suite
• Strong copywriting skills for technical B2B audiences
• Experience creating social media content and ad creatives

Technical Aptitude

• Ability to quickly learn and understand technical products (databases, cloud services, SaaS)
• Familiarity with WordPress/Webflow, hosting platforms, and web technologies
• Comfortable working with technical teams and translating technical concepts
• 
  

Nice-to-Have Skills

• Experience marketing SaaS, cloud, or database products
• Knowledge of marketing automation platforms (HubSpot, Marketo, Salesforce)
• Certification in Google Analytics, Google Ads, or digital marketing
• Experience with AI-powered marketing tools and LLM applications
• Understanding of SQL or database concepts
• 
  

Job Details:

• Job Type: Full-time opportunity 
• Work time: General Shift
• Mode of Employment - Work From Office (Pondicherry)
• Experience - 2-4  years

About MyOperator 

MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. 

Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. 

Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount. 

Role Overview 

The AVP – Engineering & Technology will own the entire technology ecosystem of the company end-to-end. This role is responsible for product architecture, engineering execution, AI strategy, platform scalability, security, and technical excellence across all products and services. 

This is a hands-on leadership role with complete accountability—from product vision to production reliability. You will act as the technical custodian of the company, working closely with the CEO, Product, Business, and Customers. 

This role is ideal for entrepreneurial leaders, ex-founders, or senior technologists who have built and scaled products and teams. 

Key Responsibilities 

Technology & Product Ownership 

● Own end-to-end product engineering for all SaaS platforms and AI solutions

● Define and drive technical vision, architecture, and long-term scalability ● Ensure high availability, performance, security, and reliability of platforms

● Translate business vision into robust, scalable technical systems

AI & Innovation Leadership 

● Lead the AI roadmap including LLM-based agents, automation, and intelligence layers

● Drive build vs buy decisions for AI, infra, and tools 

● Ensure responsible, secure, and cost-effective AI adoption 

● Continuously evaluate emerging technologies for competitive advantage Engineering Execution & Delivery 

● Build, mentor, and scale high-performing engineering teams 

● Set engineering standards for code quality, DevOps, testing, and deployment

● Own delivery timelines, tech debt management, and release governance

● Establish strong engineering culture, accountability, and ownership 

Stakeholder & Business Alignment 

● Partner closely with CEO, Product, Sales, and Customer Success

● Support enterprise deals with technical confidence and credibility

● Act as the final escalation point for all technical risks and decisions ● Present technology strategy and progress to leadership and board 

What We’re Looking For 

Experience & Background 

● 10+ years of experience in software engineering and architecture

● Proven experience leading large-scale SaaS platforms 

● Strong exposure to AI/ML, LLMs, APIs, cloud-native architectures ● Experience owning products from 0 → 1 or 1 → scale 

● Prior experience as Founder, Co-founder, CTO, VP Engineering is a strong plus

Leadership & Mindset 

● Entrepreneurial mindset with ownership mentality 

● Ability to think business-first, not just tech-first 

● Comfortable operating in ambiguity and fast-paced environments ● Strong decision-maker with bias toward action 

● Deep sense of accountability and execution excellence

Why Join Us 

● Direct reporting to the CEO with real decision-making power

● Opportunity to shape the technical DNA of a growing AI company

● Build AI agents and SaaS products at scale 

● Potential for long-term leadership growth and wealth creation

● High-impact role with visibility across the organization

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:

ROLE: Ai ML Senior Developer

Exp: 5 to 8 Years

Location: Bangalore (Onsite)

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview:

We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.

Key Responsibilities:

1. Model Analysis & Optimization

Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.

2. AI Product Design & Development

Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.

3. Prompt Engineering & Response Quality

Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.

4. AI Service Integration

Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.

5. AI-Assisted Development Productivity

Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.

6. Cross-Functional Collaboration

Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.

7. Model Monitoring & Continuous Improvement

Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.

Qualifications:

1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.

2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.

3. Proven experience building, training, and deploying chatbots or conversational AI systems.

4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.

5. Solid programming experience in Python, with strong problem-solving and development fundamentals.

6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).

7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.

8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.

9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.

ROLE - TECH LEAD/ARCHITECT with AI Expertise

Experience: 10–15 Years

Location: Bangalore (Onsite)

Company Type: Product-based | AI B2B SaaS

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview

We are looking for a Tech Lead / Architect to drive the end-to-end technical design and

development of AI-powered B2B SaaS products. This role requires a strong hands-on

technologist who can work closely with ML Engineers and Full Stack Development teams,

own the product architecture, and ensure scalability, security, and compliance across the

platform.

Key Responsibilities

• Lead the end-to-end architecture and development of AI-driven B2B SaaS products

• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to

integrate AI/ML models into production systems

• Define and own the overall product technology stack, including backend, frontend,

data, and cloud infrastructure

• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS

platforms

• Drive cloud-native deployments (Azure) using modern DevOps and CI/CD practices

• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.)

across the product

• Take ownership of application security, access controls, and compliance

requirements

• Actively contribute hands-on through coding, code reviews, complex feature development and architectural POCs

• Mentor and guide engineering teams, setting best practices for coding, testing, and

system design

• Work closely with Product Management and Leadership to translate business

requirements into technical solutions

Qualifications:

• 10–15 years of overall experience in software engineering and product

development

• Strong experience building B2B SaaS products at scale

• Proven expertise in system architecture, design patterns, and distributed systems

• Hands-on experience with cloud platforms (Azure, AWS/GCP)

• Solid background in backend technologies (Python/ .NET / Node.js / Java) and

modern frontend frameworks like (React, JS, etc.)

• Experience working with AI/ML teams in deploying and tuning ML models into production

environments

• Strong understanding of data security, privacy, and compliance frameworks

• Experience with microservices, APIs, containers, Kubernetes, and cloud-native

architectures

• Strong working knowledge of CI/CD pipelines, DevOps, and infrastructure as code

• Excellent communication and leadership skills with the ability to work cross-

functionally

• Experience in AI-first or data-intensive SaaS platforms

• Exposure to MLOps frameworks and model lifecycle management

• Experience with multi-tenant SaaS security models

• Prior experience in product-based companies or startups

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven Technical Lead with a passion for developing innovative products that drives business growth, we invite you to join our dynamic team at ProductNova.

Job Title : QA Lead (AI/ML Products)

Employment Type : Full Time

Experience : 4 to 8 Years

Location : On-site

Mandatory Skills : Strong hands-on experience in testing AI/ML (LLM, RAG) applications with deep expertise in API testing, SQL/NoSQL database validation, and advanced backend functional testing.

Role Overview :

We are looking for an experienced QA Lead who can own end-to-end quality for AI-influenced products and backend-heavy systems. This role requires strong expertise in advanced functional testing, API validation, database verification, and AI model behavior testing in non-deterministic environments.

Key Responsibilities :

• Define and implement comprehensive test strategies aligned with business and regulatory goals.
• Validate AI/ML and LLM-driven applications, including RAG pipelines, hallucination checks, prompt injection scenarios, and model response validation.
• Perform deep API testing using Postman/cURL and validate JSON/XML payloads.
• Execute complex SQL queries (MySQL/PostgreSQL) and work with MongoDB for backend and data integrity validation.
• Analyze server logs and transactional flows to debug issues and ensure system reliability.
• Conduct risk analysis and report key QA metrics such as defect leakage and release readiness.
• Establish and refine QA processes, templates, standards, and agile testing practices.
• Identify performance bottlenecks and basic security vulnerabilities (e.g., IDOR, data exposure).
• Collaborate closely with developers, product managers, and domain experts to translate business requirements into testable scenarios.
• Own feature quality independently from conception to release.

Required Skills & Experience :

• 4+ years of hands-on experience in software testing and QA.
• Strong understanding of testing AI/ML products, LLM validation, and non-deterministic behavior testing.
• Expertise in API Testing, server log analysis, and backend validation.
• Proficiency in SQL (MySQL/PostgreSQL) and MongoDB.
• Deep knowledge of SDLC and Bug Life Cycle.
• Strong problem-solving ability and structured approach to ambiguous scenarios.
• Awareness of performance testing and basic security testing practices.
• Excellent communication skills to articulate defects and QA strategies.

What We’re Looking For :

A proactive QA professional who can go beyond UI testing, understands backend systems deeply, and can confidently test modern AI-driven applications while driving quality standards across the team.

Job Description: Python Developer

Experience: 2+ Years

Job Location: Nr. Iskcon Mega Mall, SG Highway, Ahmedabad

Timings: 10 AM to 7 PM

Job Description:

Technical Skills :

• Good knowledge of Python with 2+ years of minimum experience 
• Strong understanding of various Python Libraries, APIs, and toolkits. 
• Good experience in Django, Django REST Framework, and Flask framework.
• Understanding of AWS Serverless implementation using Lambda and API Gateway
• Hands-on Experience in Databases like Mysql, PostgreSQL.
• Good experience/understanding in Agentic AI / RAG.
• Proficient in NoSQL document databases especially MongoDB, Redis.
• Stronghold in Data Structures and Algorithm
• Thorough understanding of version control system concepts especially GIT.
• Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
• Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
• Excellent debugging and optimization skills

Job Responsibilities :

• Building big, robust, scalable, and maintainable applications.
• Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Handling complex technical issues related to web app development & discussing solutions with the team.
• Developing, Deploying, and maintaining Multistage, Multi-tier applications.
• To write high-performing code and will be participating in key architectural decisions.
• Project Execution & Client Interaction
• Scrum Implementation

Hi,

PFB the Job Description for Data Science with ML

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Work Days                    : Mon - Fri

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

.

We are looking for an AI/ML Engineer to build AI-powered applications for prediction, analytics, and intelligent reporting.

You will work with structured databases and unstructured data (PDFs, documents, logs).

Design and implement data ingestion, preprocessing, and feature pipelines.

Build ML models for prediction, trend analysis, and pattern detection.

Enable chat-based insights using LLMs for querying data and generating reports.

Implement role-based access control (RBAC) and secure AI workflows.

Integrate AI models into web/mobile applications via APIs.

Optimize model performance, accuracy, and scalability.

Work with vector databases, embeddings, and semantic search.

Collaborate with product and engineering teams on AI architecture.

Ensure data security, privacy, and compliance best practices.

Stay updated with latest AI/ML tools and frameworks

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a Software Engineer to join our engineering team in our Bangalore office. We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

Our ideal candidate has built AI agents at the orchestration layer level and leveraged clever engineering techniques to improve latency & reliability for complex workflows.

We pay well above market for the country's best talent and provide a number of excellent perks.

Responsibilities

In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.

You'll wear many hats. Your responsibilities will fall into 2 categories:

AI Engineering

• Develop AI agents with a high bar for reliability and performance.
• Build SOTA LLM-powered tools for providers, practices, and patients.
• Architect our data annotation, fine tuning, and RLHF workflows.
• Live on the bleeding-edge ensuring that every week, we have the most cutting edge agents as the industry evolves.

Full-Stack Engineering (80% backend, 20% frontend)

• Lead the team in designing scalable architecture to support performant web applications.
• Develop features end-to-end for our web applications with industry leading product and user experience (Typescript, nodeJS, python etc).

Perks of Working at Asha Health

#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).

#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).

#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)

About PGAGI

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Position Overview:

We are excited to announce openings for AI/ML Interns who are enthusiastic about artificial intelligence, machine learning, and data-driven technologies. This internship is designed for individuals who want to apply their knowledge of algorithms, data analysis, and model development to solve real-world problems. Interns will work closely with our AI engineering teams to develop, train, and deploy machine learning models, contributing to innovative solutions across various domains. This is an excellent opportunity to gain hands-on experience with cutting-edge tools and frameworks in a collaborative, research-oriented environment.

Key Responsibilities:

- Experience working with python, LLM, Deep Learning, NLP, etc..

- Utilize GitHub for version control, including pushing and pulling code updates.

- Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.

- Engage in prompt engineering and the fine-tuning process of AI models.

Compensation

• Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
• Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
• Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.

Requirements:

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

Only students currently in their final year of a Bachelor's degree in Computer Science, Engineering,

or related fields /graduates are eligible to apply.

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

Shortlisted candidates will be contacted for an interview.

Selection Process

• Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.
• Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.
• Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.
• Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.
• Onboarding: Successful candidates will join our team, with exciting projects ahead

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #TTS #Voice #Speech

About E2M:

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.

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

• Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.
• Assess client requirements and prepare solution strategies using AI tools and methodologies.
• Work with internal teams to design, propose, and help execute AI-powered solutions.
• Provide AI-based recommendations that align with the client’s business objectives.
• Communicate technical possibilities in a business-friendly manner to decision-makers.
• Take ownership of the client journey from discovery to implementation and support.
• Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:

• Minimum 2+ Years of hands on experience into Custom AI Development.
• Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.
• Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologies).
•  Some hands-on experience in AI projects – either through execution, coordination, or implementation.
• Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.
•  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.
• Flexible to work with international clients, especially in the US time zone as needed.