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Job details:
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: divya.nagpal@terratcc.com
Click on Apply to know more.
