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Forward Deployed Engineer - Agentic AI

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Onsite

Forward Deployed Engineer - Agentic AI

Undisclosed

Forward Deployed Engineer - Agentic AI

Skills

Google Cloud PlatformSQL QueriesDockerFlaskPythonAIAWSGitHubFastAPIAzure

12 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

8 October 2026

What they need


Forward Deployed Engineer – Agentic AI

Location: Gurugram, India – On-site

Experience: 3- 8 years

About the Role

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.
  • LLM evaluation/benchmarking.
  • LangSmith/Langfuse or similar observability tools.

Interested candidates can apply at: [email protected]

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