The ideal candidate combines strong software engineering expertise with hands-on experience in LLMs, RAG, AI agents, and up-to-date AI frameworks, while also providing technical leadership and mentoring engineering teams.

Key Responsibilities

- Design and develop enterprise-grade Agentic AI and Generative AI applications. - Build and optimize RAG pipelines, including ingestion, chunking, embeddings, retrieval, reranking, and generation. - Develop intelligent workflows using LangChain and LangGraph. - Implement AI agent capabilities such as tool/function calling, memory, planning, and orchestration. - Integrate LLMs with enterprise systems, APIs, databases, and external tools. - Develop scalable backend services and microservices using Python and Java. - Ensure application reliability through testing, observability, evaluation,



and AI guardrails. - Lead technical design discussions, mentor engineers, and drive engineering best practices.

Required Skills

- 8+ years of software engineering experience. - Strong hands-on expertise in Generative AI, Agentic AI, LLMs, and RAG. - Proficiency in Python - Experience with LangChain, LangGraph, and AI agent frameworks. - Strong understanding of REST APIs, Microservices, Multithreading, and Design Patterns. - Experience building and deploying production-scale AI/LLM applications. - Knowledge of Vector Databases, embeddings, and retrieval architectures. - Experience with API testing and automation.

📌 Lead Software Engineer (Gurugram)
🏢 Questhiring
📍 Gurugram