Agentic AI Forward Deployed Engineer (FDE) | Bhubaneswar

Relevance Lab; Khordha; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Relevance Lab in Bhubaneswar, Odisha is hiring an Agentic AI Forward Deployed Engineer. Freshers with AI project experience are welcome. You will design and deploy enterprise AI agents and multi-agent systems, collaborating with clients to turn requirements into production-ready solutions.

Ideal candidates have 4-7 years in software or AI development, strong Python for API work, and hands-on LLM tool calling experience with LangChain or similar frameworks. AWS exposure is a plus.

Qualifications

• 4-7 years in software/backend or AI application development.
• Strong Python for API development and integrations.
• Hands-on experience with LLMs, tool calling, and frameworks like LangChain or similar.

Responsibilities

• Identify automation opportunities with clients and design 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 productionize with guardrails, security and human-in-the-loop controls.
• Optimize agent accuracy, performance and LLM costs.

Skills

Python

API development

LLMs & tools

RAG

AWS

Tools

LangChain

LangGraph

CrewAI

AutoGen

Job description

Role & responsibilities

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

Freshers with some projects in AI experiance are most welcome.

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 youll 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