AI Engineer – Python, LLM/GenAI, RAG, AWS & AI Agents

About the role

The role will focus on developing production-ready generative AI solutions, retrieval-augmented generation (RAG) pipelines, agentic workflows, model integrations, and AI-enabled automation. The AI Engineer will contribute to the design, development, deployment, and continuous improvement of AI solutions using Python, large language models (LLMs), AWS services, vector databases, and secure engineering practices.

What you'll do

• Design, develop, and implement AI agents and AI architecture within CI/CD workflows on AWS
• Build and maintain production-ready generative AI applications using LLMs, including OpenAI, Bedrock, or similar technologies
• Develop RAG pipelines using SageMaker, Lambda, vector databases, embeddings, document ingestion, retrieval, and response-generation components
• Develop MCP servers and integrate tools, APIs, services, data sources, and enterprise systems with AI applications
• Build agentic workflows and autonomous AI agents that can plan tasks, use approved tools, manage context, and produce validated outcomes

What you need

• 8–14 yrs of experience
• Python
• LLMs
• AWS
• CI/CD
• Test automation
• Docker
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Machine learning
• Shell scripting
• NoSQL
• JavaScript
• TypeScript
• Kubernetes