Forward Deployed Engineer - Agentic AI

Undisclosed; Gurugram District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Undisclosed is seeking a Forward Deployed Engineer – Agentic AI to design, build and deploy LLM-powered agents for real-world business use cases. You will work closely with business and technical stakeholders to translate requirements into production-grade solutions.

You will implement agent workflows, handle tool calls, RAG workflows and state management, and integrate with APIs and data stores. Strong Python skills and collaboration with cross-functional teams are essential.

Qualifications

• B.Tech/B.E./M.Tech/MCA in CS/IT or related field.
• 2–3 years of experience with strong Python skills.
• Hands-on experience with LLM/GenAI projects.
• Experience with two of: LangChain, LangGraph, Google ADK, LlamaIndex, CrewAI or similar agent frameworks.
• Understanding of RAG, prompting, tool/function calling, embeddings and vector stores.
• Knowledge of Git, REST APIs and basic SQL.
• Good communication and stakeholder management skills.

Responsibilities

• Design, develop and deploy LLM-powered agents using LangChain, LangGraph and Google ADK.
• Build agent workflows involving tool/function calling, RAG, multi-step reasoning and state management.
• Integrate agents with APIs, databases and third-party systems using MCP and custom tools.
• Collaborate with stakeholders to understand requirements, develop prototypes and implement solutions.
• Develop evaluations and guardrails to improve agent accuracy and reliability.
• Debug production agents, analyse logs and resolve reliability issues.
• Use AI coding tools such as Claude Code, Cursor and GitHub Copilot in the development workflow.

Skills

Python programming

Communication

Education

B.Tech/B.E./M.Tech/MCA in CS/IT or related field

Tools

LangChain

LangGraph

Google ADK

LlamaIndex

CrewAI

Job description

We are looking for a Forward Deployed Engineer – Agentic AI to build and deploy LLM-powered agentic solutions for real-world business use cases. The role involves close collaboration with business and technical stakeholders.

Job Responsibilities

• Design, develop and deploy LLM-powered agents using LangChain, LangGraph and Google ADK.
• Build agent workflows involving tool/function calling, RAG, multi-step reasoning and state management.
• Integrate agents with APIs, databases and third-party systems using MCP (Model Context Protocol) and custom tools.
• Collaborate with stakeholders to understand requirements, develop prototypes and implement solutions.
• Develop evaluations and guardrails to improve agent accuracy and reliability.
• Debug production agents, analyse logs and resolve reliability issues.
• Use AI coding tools such as Claude Code, Cursor and GitHub Copilot in the development workflow.

Required Skills

• B.Tech/B.E./M.Tech/MCA in CS, IT or related field.
• 2–3 years of experience with strong Python skills.
• Hands-on experience with LLM/GenAI projects.
• Experience with at least two of: LangChain, LangGraph, Google ADK, LlamaIndex, CrewAI or similar agent frameworks.
• Strong understanding of RAG, prompting, tool/function calling, embeddings and vector stores.
• Good knowledge of Git, REST APIs and basic SQL.
• Good communication and stakeholder management skills.

Good to Have

• FastAPI/Flask, Docker and cloud exposure (AWS/GCP/Azure).
• MCP, agent-to-agent orchestration.
• LangSmith/Langfuse or similar observability tools.