5,036 Generative AI jobs in India

Key Responsibilities

Develop and deploy Generative AI solutions using AWS Bedrock (Knowledge Bases, Agents) and LangChain.

Design RAG systems with Amazon Aurora PostgreSQL (Vector DB) and optimize LLM prompts (e.g., Claude 3.5 Sonnet).

Implement document processing pipelines using Amazon Textract (OCR), S3 event triggers, and Lambda.

Orchestrate multi-agent workflows with AWS Step Functions and EventBridge.

Integrate RabbitMQ for asynchronous data handling and ensure data validation with PostgreSQL/MySQL.

Collaborate with cross-functional teams to align AI solutions with business needs.

Technical Requirements

Must-Have:

4+ years in Python (Boto3, Pandas, NumPy) and LangChain/similar frameworks.

Strong AWS expertise: Lambda, S3, Textract, Bedrock, Aurora PostgreSQL, Step Functions.

Experience with LLM prompt engineering (Claude 3.5, GPT-4) and RAG pipelines.

Knowledge of vector databases, OCR, and document processing (financial/legal domains).

Location: Remote/Bengaluru/Hyderabad/Pune (India)

Job Title: Generative AI Engineer

Experience: 6–9 years

About the Role

We are seeking a Generative AI Engineer with 8–12 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A ) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities

LLM Applications & Agentic Frameworks

• Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP.
• Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks.
• Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.
• Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

Advanced AI Experimentation

• Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.
• Create and leverage synthetic datasets to simulate edge cases and scale training.
• Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability)
• Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol)

Business Alignment & Cross-Team Collaboration

• Translate ambiguous requirements into structured, AI-enabled solutions.
• Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have

• Microsoft Copilot Studio
• DevRev
• Codium
• Cursor
• Atlassian AI
• Databricks Mosaic AI

Qualifications

• 6–9 years of experience in software development or AI/ML engineering
• At least 3 years working with LLMs, GenAI applications, or agentic frameworks.
• Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration
• Proven track record of developing functional AI prototypes beyond notebooks.
• Strong presentation and storytelling skills to clearly convey GenAI concepts and value.
• Ability to independently drive AI experiments from ideation to working demo.

Greetings from TATA Consultancy Services!

We are Looking for Gen AI Developer

Experience: 4-8 Years

Work Location: Pan India

Job Description:

Must Have- Gen AI / LLM /Agentic AI

• Strong programming skills in Python with experience in building ML/NLP applications.
• Hands-on experience with Deep Learning, Machine Learning, and Natural Language Processing.
• Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture.
• Experience with Agentic AI frameworks and autonomous agent design.
• Familiarity with FastAPI for building RESTful APIs.
• Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS
• Solid understanding of data structures, algorithms, and software engineering principles.
• Bachelor’s or master’s degree in computer science, AI, Data Science, or related field.
• Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch
• Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration.

Overview

The Senior Technical Architect – Generative AI and Agent Factory is responsible for leading the end-to-end architecture, design, and strategic enablement of PepsiCo's enterprise-grade GenAI platforms—PepGenX, Agent Factory, and PepVigil.

This role defines scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns that enable intelligent, governed, and reusable agent ecosystems. The position plays a pivotal role in accelerating the deployment of AI-driven solutions across commercial, reporting, and enterprise automation use cases

.
Responsibiliti

• esArchitect and govern the design of scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for enterprise-wide reuse
• .,Define event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to enable intelligent, context-aware workflows
• .,Drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure consistency in observability, security, and orchestration patterns
• .,Develop reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to accelerate use case onboarding across domains
• .,Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agent
• s,Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product release

s.
Qualificatio

• ns Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fie
• ld.12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agen
• ts.Proven experience in designing and implementing agent-based frameworks or AI orchestration platfor
• ms.Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory manageme
• nt.Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stac
• ks.Demonstrated ability to influence enterprise architecture and guide cross-functional engineering tea
• ms.Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholde

Toddle is a teacher-built, AI-first teaching and learning platform that goes beyond a typical LMS. We help educators streamline their entire workflow – from curriculum planning and assessments to student portfolios, gradebook, progress reports and family communication – all from one intuitive interface.

In the past two years, we’ve deeply embedded AI across our entire platform to reduce teachers’ administrative workload and help them focus on what really matters: delivering meaningful, personalised instruction. Whether it’s planning lessons, assessing student work, or writing report cards, Toddle AI is built to support teachers in all their work.

Today, 2,000+ schools and districts across 100+ countries use Toddle to simplify and elevate their teaching. We are backed by leading global investors, including GSV and Sequoia Capital.

Here’s what you’ll be doing

We are seeking a talented and mission-driven Generative AI Engineer to join our growing team. In this role, you will play a central part in architecting and building next-generation AI-powered tools for education using cutting-edge technologies such as large language models (LLMs), agentic systems, and multimodal AI.

You’ll work on designing intelligent, adaptive systems that can reason, plan, and interact in dynamic educational settings. This role is deeply interdisciplinary and impact-focused: you’ll collaborate with educators, curriculum designers, and product teams to develop AI that is useful, safe, and truly supportive of learning.

You’ll also have the unique opportunity to test and iterate on these tools directly in genuine educational environments, gathering real feedback from teachers, students, and parents to continuously improve the product experience.

Must-have Skills:

• Ability to design scalable, modular, and secure AI system architectures that can support real-world use in production.
• Experience with cloud based model providers and their APIs (AWS, GCP, Azure) 
• Strong knowledge of LLM prompt design patterns, prompt chaining and failure handling.
• Strong debugging, testing, and optimization skills for LLM-based applications.
• Proficient in Python and Node.js

Good to Have:

• Hands-on expertise in architecting complex agentic systems such as tool-using agents, memory-augmented workflows, or multi-agent coordination
• Understanding of Model context protocols and how to integrate them into multi-agent LLM stacks
• Familiarity with ethics in AI, explainability, and responsible deployment in sensitive domains like education.
• Familiarity with AIOps workflows and tools

Is this someone that looks like you?

• Education: B.E/B.Tech degree
• Experience: 2+ years of relevant working experience (SaaS preferred)
• Soft Skills: Having a bias towards action, a good sense of design, empathy, and good communication skills
• We deeply value building the right culture at Toddle, and these are a few things that we look  for in each hire - Coach-ability, Curiosity, Ownership, Hustle, and Humility 
• Location: Bangalore, Onsite

Excited about the role?

Here are some more benefits:

1) Flexibility at work

• Work from anywhere – home, co-working space, cafe or even the hills
• Block “no-meeting hours” to enable uninterrupted focused work

2) Exposure to diverse learning opportunities

• Work across different projects & teams to develop skills outside of your core expertise
• Access to a small budget towards learning (e.g. books, online courses, substacks)

3) Industry best leave policy

We trust you fully on your commitment to our mission and your judgement on planning your time and taking leaves:

• No cap on the number of sick or casual leaves
• Special paid leaves for childbirth, wedding etc.

4) No bell curve performance evaluations

We put in a lot of work to hire the best, and therefore we don’t expect anyone to deliver less than the best!

5) And yes, a super fun and diverse group of folks to collaborate and grow with

Still with us? Here’s the process:

1) Shortlisting:

• Complete the form on this page
• We’ll check out your application and assess it for a fit
• You will hear back from us within 2-3 days of the submission if shortlisted

2) Once shortlisted, we usually do about 2-3 rounds of interviews, a written assignment, and deep reference checks

3) We value everyone’s time hence we make it a point to communicate proactively at all stages of your application. You can always reach out to us for any questions

Job Title: Data Scientist – AIML, GenAI & Agentic AI

Location: Pune/ Bangalore/ Indore/ Kolkata

Job Type: Full-time

Experience Level: 5+ Years

NP : Immediate Joiner OR 15 Days Max

Job Description

We are seeking a highly skilled and innovative Data Scientist / AI Engineer with deep expertise in AI/ML, Generative AI, and Agentic AI frameworks to join our advanced analytics and AI team. The ideal candidate will possess a robust background in data science and machine learning, along with hands-on experience in building and deploying end-to-end intelligent systems using modern AI technologies including RAG (Retrieval-Augmented Generation), LLMs, and agent orchestration tools.

Key Responsibilities

• Design, build, and deploy machine learning models and Generative AI solutions for a wide range of use cases (text, vision, and tabular data).
• Develop and maintain AI/ML pipelines for large-scale training and inference in production environments.
• Leverage frameworks such as LangChain, LangGraph, CrewAI for building Agentic AI workflows.
• Fine-tune and prompt-engineer LLMs (e.g., GPT, BERT) for enterprise-grade RAG and NLP solutions.
• Collaborate with business and engineering teams to translate business problems into AI/ML models that deliver measurable value.
• Apply advanced analytics techniques such as regression, classification, clustering, sequence modeling, association rules, computer vision, and NLP.
• Architect and implement scalable AI solutions using Python , PyTorch , TensorFlow , and cloud-native technologies.
• Ensure integration of AI solutions within existing enterprise architecture using containerized services and orchestration (e.g., Docker, Kubernetes).
• Maintain documentation and present insights and technical findings to stakeholders.

Required Skills and Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, Statistics, or related field.
• Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, etc.
• Extensive experience with deep learning frameworks : PyTorch and TensorFlow.
• Proven experience with Generative AI , LLMs , RAG , BERT , and related architectures.
• Familiarity with LangChain , LangGraph , and CrewAI and strong knowledge of agent orchestration and autonomous workflows.
• Experience with large-scale ML pipelines , MLOps practices, and cloud platforms (AWS, GCP, or Azure).
• Deep understanding of software engineering principles , design patterns, and enterprise architecture.
• Strong problem-solving, analytical thinking, and debugging skills.
• Excellent communication, presentation, and cross-functional collaboration abilities.

Preferred Qualifications

• Experience in fine-tuning LLMs and optimizing prompt engineering techniques.
• Publications, open-source contributions, or patents in AI/ML/NLP/GenAI.
• Experience with vector databases and tools such as Pinecone, FAISS, Weaviate, or Milvus.

Why Join Us?

• Work on cutting-edge AI/ML and GenAI innovations.
• Collaborate with top-tier scientists, engineers, and product teams.
• Opportunity to shape the next generation of intelligent agents and enterprise AI solutions.
• Flexible work arrangements and continuous learning culture.

To Apply: Please submit your resume and portfolio of relevant AI/ML work (e.g., GitHub, papers, demos) to