GURUGRAM · FULLTIME
Forward Deployed Engineer - Agentic AI
UN
Undisclosed
Gurugram · onsite · Posted 8d ago
Sourced from
Not disclosed3–8 yrsfulltimeGurugram
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
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: [HIDDEN TEXT]
Sourced from foundit
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
DockerLLM Evaluation BenchmarkingRAG promptingLLM GenAI projectsMCP agent-to-agent orchestrationLangSmithclaudeCrewaigoogle cloud platformamazon web servicesGithub CopilotLangfusecursorEmbeddingsFlask FrameworkMCP Model Context ProtocolCodeADKtool function callingvector storesPythonSQLREST APIMicrosoft AzureLanggraphLangchainLlamaindexGITFastAPI