The ideal candidate combines strong 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 ResponsibilitiesDesign 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 Skills8+ years of software engineering experience.Robust hands-on expertise in

Generative AI, Agentic AI, LLMs, and RAG .Proficiency in

PythonExperience 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 (Mumbai)
🏢 Questhiring
📍 Mumbai