Lead Software Engineer
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Summary
Lead Software Engineer in Gurugram designing enterprise-grade Agentic and Generative AI applications: building RAG pipelines, LangChain/LangGraph agent workflows, and scalable Python/Java backend microservices, while mentoring engineers and driving technical design and best practices.
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.
- 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.