About the job :

Were building an Agentic AI Platform that lets enterprises solve real business problems using Agentic AI workflows.

From utility operations to legal document review; our mission is to let AI agents think, act, and deliver; fast, secure and locally.

Were looking for an Agentic AI Engineer whos hungry to learn and ship.

If youre ready to build with cutting-edge frameworks like Lang Chain, CrewAI, Lang Graph, Google ADK and more and can translate real enterprise problems into intelligent multi-agent workflows, this role is for you.

What Youll Do :

- Build and deploy AI agents using open-source agentic frameworks

- Explore and integrate models from OpenAI, Mistral, Gemini, Llama, Claude, etc.

- Use tools like Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores

- Work with product managers and domain experts to solve real problems (not just prototypes)

- Continuously test and refine agent behavior across different enterprise domains (utilities, legal, marketing, supply chain)

- Actively contribute to evolving our proprietary DataInsightAI platform

Must-Have Skills :

- At least 1+ years of hands-on experience implementing a enterprise level Gen AI project that has gone live.

- Strong Python skills (Async, FastAPI, LangChain/CrewAI or similar)

- Experience working with LLMs (OpenAI, Llama, Claude, Gemini, etc.)

- Familiar with agentic AI workflows, prompt chaining, and tool use

- Understanding of RAG, vector databases (like FAISS, Qdrant, Weaviate)

- Curiosity-driven mindset, fast learner, hands-on coder

- Ability to simplify complex problems and build MVPs fast

Nice to Have :

- Worked on multi-agent architectures or fine-tuned LLMs

- Used graph databases (Neo4j) or custom knowledge stores

- Experience deploying on Azure/AWS/GCP

- Familiarity with LangGraph or Google ADK