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.
Solid hands-on expertise in

Generative AI, Agentic AI, LLMs, and RAG

.
Proficiency in

Python
Experience with

LangChain, LangGraph

, and AI agent frameworks.
Robust 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