AI / Generative AI Engineer – Python, LLMs, RAG, AI Agents, Azure OpenAI & AWS Bedrock

Overview

AI / Generative AI Engineer responsible for designing, developing and deploying production-grade AI applications using LLMs, RAG, AI agents and cloud AI platforms.

What you'll do

• Design and deploy Generative AI solutions using LLMs and foundation models.
• Build data ingestion, prompt engineering, RAG pipelines and model orchestration.
• Develop AI agents and agentic workflows using LangChain, LangGraph and MCP.
• Implement AI capabilities with Azure OpenAI, AWS Bedrock and OpenAI APIs.
• Create APIs and microservices integrating AI capabilities with enterprise applications.
• Implement guardrails, monitoring, governance and responsible AI practices.
• Collaborate with stakeholders, architects, engineering, DevOps and MLOps teams.

What you'll need

• At least 6 years of experience in software development, AI, machine learning, data engineering or a related technical field.
• Strong Python development skills for production-ready AI applications.
• Experience with Generative AI, LLMs, NLP, Transformers, embeddings and prompt engineering.
• Experience implementing RAG architectures and vector databases.
• Experience developing AI agents and agentic workflows.
• Experience with Azure and/or AWS, including Azure OpenAI or AWS Bedrock.
• Experience with FastAPI, Docker, Kubernetes, CI/CD, Git, SQL and NoSQL databases.

Nice to have

• Experience delivering enterprise-scale Generative AI solutions.
• Exposure to the BFSI domain.
• Experience with Copilot solutions, multi-agent systems, multimodal AI or full-stack development.
• Experience with AI governance, responsible AI, security and compliance.
• Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science or a related field.

Details

• Full-time position.
• Hybrid working model.
• Locations include Pune, Bengaluru, Hyderabad or Mumbai.