AI Engineer

About the role

The role will focus on developing AI-enabled solutions using LLMs, Generative AI, Python, RAG pipelines, MCP servers, vector databases, and AWS services. The AI Engineer will contribute to the design, development, integration, testing, deployment, and improvement of secure AI applications.

What you'll do

• Build and implement AI agents and AI architecture within CI/CD workflows on AWS
• Develop production-ready AI applications using LLMs and Generative AI platforms
• Design, implement, and maintain RAG pipelines using SageMaker, Lambda, vector databases, embeddings, and retrieval components
• Develop MCP servers and integrate approved tools, APIs, services, and enterprise data sources
• Build agentic workflows and autonomous AI agents that support task planning, tool use, context management, and response validation

What you need

• 8–14 years in data science & ai
• Python
• LLMs
• AWS
• CI/CD
• Docker
• Kubernetes
• 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
• Test automation