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 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.

- 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