The ideal candidate combines robust software engineering expertise with hands-on experience in LLMs, RAG, AI agents, and modern 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 (Faridabad)
🏢 Questhiring
📍 Faridabad