Senior AI Engineer, Agentic AI

About the role

The engineer will own the full lifecycle of AI products, from solution development, monitoring, optimization, and scaling. The role requires expertise and strong hands-on experience in LLMs, AI agent development, multi-agent orchestration, cloud native architectures, and enterprise AI platforms.

What you'll do

• Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions
• Fine-tune and optimize foundation models, and build embedding pipelines, vector search systems, and agent orchestration frameworks
• Evaluate model performance, hallucination rates, and business impact
• Develop production quality systems using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel, and build APIs and reusable AI services
• Integrate AI solutions with Databricks, Azure AI Foundry, and AWS

What you need

• 5–8 yrs of experience
• Python
• Machine learning
• LLMs
• System design
• AWS
• Databricks
• B.Sc or M.Sc or B.Tech or B.E.

Good to have

• Azure
• FastAPI