Generative AI Engineer

AI/ML Engineer GenAI / Agentic AI

Experience: 5+ years

Location: Pune | Indore | Bangalore | Kolkata

Role Summary

We are hiring an AI/ML Engineer to build and deploy production-grade Generative AI and agentic systems. You will work on LLM-powered applications, RAG pipelines, and autonomous workflows that integrate deeply with enterprise systems.

This is a hands-on role focused on shipping reliable, scalable AI systems, not prototypes.

Key Responsibilities

• Design, build, and deploy LLM-powered applications for real-world enterprise use cases
• Develop and optimize RAG pipelines, including retrieval strategies, chunking, and vector search
• Build agentic systems and multi-step workflows using frameworks such as LangChain, LangGraph, AutoGen, and CrewAI
• Integrate LLMs with enterprise systems, APIs, and internal tools
• Implement prompt engineering, fine-tuning, and orchestration strategies for domain-specific tasks
• Build evaluation pipelines, monitoring systems, and guardrails to ensure reliability and accuracy
• Optimize systems for latency, cost, and scalability in production environments
• Collaborate with product, data, and cloud teams to deploy and operate AI systems at scale

Required Skills

• Strong proficiency in Python
• Solid foundation in AI/ML, including NLP, deep learning, and transformer architectures
• Hands-on experience with LLMs across providers (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)
• Experience building RAG systems and working with vector databases (FAISS, Pinecone, Weaviate, Chroma)
• Familiarity with agentic frameworks such as LangChain, LangGraph, AutoGen, or CrewAI
• Experience with prompt engineering and LLM orchestration
• Experience integrating APIs and building microservices-based systems

Good to Have

• Experience with LLM fine-tuning techniques (LoRA, PEFT)
• Familiarity with MLOps / LLMOps tools (MLflow, Kubeflow, monitoring and observability stacks)
• Experience with cloud platforms (AWS, Azure, GCP)
• Working knowledge of Docker and Kubernetes
• Exposure to enterprise domains such as BFSI, healthcare, retail, or telecom

Qualifications

• B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field
• 5+ years of hands-on experience in AI/ML, with recent experience in Generative AI systems