Transformative AI Solutions Specialist

2 days ago

Jaipur, Rajasthan, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Agentic AI Engineer Opportunity">

We are embarking on an exciting journey to build an Agentic AI Platform that empowers enterprises to tackle real-world challenges using cutting-edge workflows.

From utility operations to legal document review, our mission is to enable AI agents to think, act, and deliver efficiently, securely, and locally.

We seek a talented Agentic AI Engineer who is eager to learn and contribute to the development of our platform.

If you have experience with leading-edge frameworks like Lang Chain, CrewAI, Lang Graph, and Google ADK, and can translate complex enterprise problems into intelligent multi-agent workflows, this role is for you.

Key Responsibilities:

  • Design and deploy AI agents using open-source agentic frameworks
  • Explore and integrate models from OpenAI, Mistral, Gemini, Llama, Claude, etc.
  • Utilize tools like Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores
  • Collaborate with product managers and domain experts to solve real-world 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

Requirements:

  • At least 1+ years of hands-on experience implementing an 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.)
  • Familiarity with agentic AI workflows, prompt chaining, and tool usage
  • 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:

  • Experience with 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

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