Generative AI Engineer

Job Title: AI/ML Engineer – GenAI / Agentic AI

Experience: 4+ Years

Location: Pune / Indore / Bangalore / Kolkata

Role Summary

We are looking for an experienced AI/ML Engineer – GenAI / Agentic AI to design, build, and deploy intelligent, autonomous AI systems. The role involves working on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI frameworks to solve real-world enterprise problems.

Key Responsibilities

• Design, develop, and deploy Generative AI and Agentic AI solutions using LLMs

•Build and optimize RAG pipelines with vector databases (FAISS, Pinecone, Weaviate, etc.)

•Develop multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI

•Integrate LLMs with enterprise systems, APIs, tools, and workflows

•Fine-tune and prompt-engineer LLMs for domain-specific use cases

•Implement evaluation, monitoring, and guardrails for GenAI systems

•Collaborate with product, data, and cloud teams for scalable deployment

•Ensure performance, cost optimization, security, and compliance

Mandatory Skills

•Python (Strong proficiency)

•AI/ML fundamentals – NLP, Deep Learning, Transformers

•Generative AI & LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)

•Agentic AI frameworks – LangChain / LangGraph / AutoGen / CrewAI

•RAG architecture and vector databases

•Prompt engineering & LLM orchestration

•REST APIs, microservices integration

Good to Have

•Fine-tuning LLMs (LoRA, PEFT)

•Experience with MLOps / LLMOps (MLflow, Kubeflow, monitoring tools)

•Cloud platforms: AWS / Azure / GCP

•Knowledge of Docker, Kubernetes

•Experience in enterprise use cases (BFSI, Healthcare, Retail, Telecom)

Qualifications

•B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field

• 4+ years of hands-on experience in AI/ML with recent focus on GenAI / Agentic AI

Why Join Us

•Work on cutting-edge Agentic AI & GenAI platforms

•Opportunity to build autonomous, production-grade AI systems

•High-impact enterprise projects

•Collaborative and innovation-driven environment