The ideal candidate combines solid software engineering expertise with hands-on experience in LLMs, RAG, AI agents, and contemporary 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.
Robust 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