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