Agentic AI Forward Deployed Engineer (FDE)

Relevance Lab; Khordha; On-site; INR 1,100,000 - 1,900,000; Full time

Job summary

Relevance Lab is hiring an Agentic AI Forward Deployed Engineer (FDE) in Bhubaneswar, Odisha. The role focuses on designing, building, and deploying agentic AI solutions for enterprise clients, turning requirements into production-ready AI agents and multi-agent workflows.

You will work with LLMs, tool calling, and AI frameworks like LangChain or AutoGen, while optimizing costs and ensuring security, observability, and human-in-the-loop controls in production environments.

Qualifications

• 4-7 years in software, backend or AI application development.
• Strong Python (API development and integrations).
• Hands-on experience with LLMs, tool calling, and frameworks like LangChain, LangGraph, CrewAI or AutoGen.
• Working knowledge of RAG, embeddings and vector databases.
• AWS Cloud experience.
• Clear communication and client-facing ability.

Responsibilities

• Identify automation opportunities with clients and convert requirements into production-ready AI agents.
• Build multi-agent workflows, RAG pipelines, and tool/API integrations.
• Develop MCP servers and connect agents to enterprise systems.
• Ship fast POCs and deploy to production with guardrails, security and human-in-the-loop controls.
• Optimize agent accuracy, performance and LLM costs.

Skills

Python

API development

LLM

LangChain

LangGraph

AutoGen

RAG

Observability

Multi-agent systems

AWS

Education

BS/BE in CS or related

Tools

FastAPI

REST APIs

Job description

Role & responsibilities

We are Hiring: Agentic AI Forward Deployed Engineer (FDE) | Bhubaneswar, Odisha

Want to build AI agents that solve real enterprise problems, not just demos?

Join us to design, build and deploy agentic AI solutions for clients on AI platform.

What you'll do:

• Work directly with clients to identify automation opportunities and turn requirements into production-ready AI agents
• Build multi-agent workflows, RAG pipelines, and tool/API integrations
• Develop MCP servers and connect agents to enterprise systems
• Ship fast POCs, then take them to production with guardrails, security and human-in-the-loop controls
• Optimize agent accuracy, performance and LLM costs

Good to have:

Python, AWS, FastAPI, RAG, API, Agentic AI, LLM evaluation and observability, multi-agent systems in production

What were looking for:

• 4-7 years in software, backend or AI application development
• Strong Python (API development and integrations)
• Hands-on experience with LLMs, tool calling, and frameworks like LangChain, LangGraph, CrewAI or AutoGen
• Working knowledge of RAG, embeddings and vector databases
• AWS Cloud
• Clear communication and comfort working with clients