AI Engineer (5–8 Years)

About the role

Design, develop, and deploy GenAI and Agentic AI solutions for enterprise-scale applications. Build multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or similar. Develop and optimize RAG-based systems leveraging Vector Databases and enterprise knowledge sources. Create scalable APIs and microservices using Python and FastAPI.

What you'll do

• Design, develop, and deploy GenAI and Agentic AI solutions for enterprise-scale applications
• Build multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or similar
• Develop and optimize RAG-based systems leveraging Vector Databases and enterprise knowledge sources
• Create scalable APIs and microservices using Python and FastAPI
• Implement LLM orchestration, prompt engineering, evaluation frameworks, and observability solutions

What you need

• 5–8 yrs of experience
• Python
• LLMs
• FastAPI
• REST APIs
• System design
• Flask
• Any graduate

Good to have

• Prompt engineering
• Microservices