Role & responsibilities

- Design, develop and deploy Agentic AI applications using Python and modern AI frameworks.

- Build intelligent AI agents and multi-agent systems using LangGraph and LangChain.

- Integrate LLMs such as OpenAI, Claude and Gemini into real-world applications.

- Develop AI agents capable of using tools, APIs, databases and external services.

- Implement Retrieval-Augmented Generation (RAG), vector search and semantic search solutions.

- Develop conversational AI applications with context management, memory and multi-step workflows.

- Build backend services and REST APIs using FastAPI.

Preferred candidate profile

- 2 years of hands-on experience in Python development, preferably in AI/ML or Generative AI applications.

- Strong knowledge of Python, OOP concepts, data structures and asynchronous programming.

- Practical experience with LangChain,



LangGraph or similar agent development frameworks.

- Good understanding of LLMs, prompt engineering, function calling and tool integration.

- Experience building AI agents, RAG pipelines and multi-step AI workflows.

- Working knowledge of OpenAI, Anthropic Claude or Google Gemini APIs.

Perks and benefits

- Opportunity to work on real-world Agentic AI products and applications.

- Exposure to contemporary AI technologies, LLMs and multi-agent architectures.

- Work on challenging projects involving automation, intelligent systems and financial technology.

- Opportunity to learn and work with emerging AI frameworks and tools.

- Collaborative and technology-driven working environment.

📌 Agentic AI Developer (Gurugram)
🏢 M/s Kimbly Labs
📍 Gurugram