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Agentic AI Developers

Agentic AI Developers

Statsby Solutionspune, maharashtra, in
3 days ago
Job description

Job Title :  Agentic AI Developer

We’re looking for an  AI Engineer  who can design, develop, and operationalize  agentic AI systems  leveraging  large language models (LLMs) ,  multi-agent orchestration , and  knowledge-graph-driven reasoning . You’ll work on projects that combine  data engineering ,  automation , and  AI reasoning , building production-ready systems that go beyond prompt-based use cases.

Key Responsibilities

  • Design and implement  multi-agent architectures  that enable goal-driven task orchestration and reasoning using frameworks like LangChain, CrewAI, or Bedrock AgentCore.
  • Build and fine-tune  LLM-based agents  for tasks such as document understanding, information retrieval, knowledge graph enrichment, and workflow automation.
  • Develop  end-to-end pipelines  that integrate  retrieval-augmented generation (RAG) ,  vector databases , and  LLM APIs  (e.g., OpenAI, Claude, Gemini, Bedrock).
  • Collaborate with data engineers to align  AI agents with structured and unstructured data sources  (Snowflake, Databricks, Neo4j, Postgres, etc.).
  • Implement  agent memory, context windows, and state management  strategies for persistent multi-turn reasoning.
  • Contribute to Statsby’s internal  AI accelerators and frameworks  for reusable agentic components and observability.
  • Work closely with domain experts in healthcare to embed  compliance, auditability, and explainability  into AI solutions.

Preferred Skills & Experience

  • Strong programming expertise in  Python  (FastAPI, LangChain, LlamaIndex, Pydantic, asyncio).
  • Experience with  LLM APIs  (OpenAI, Anthropic, AWS Bedrock, Vertex AI) and  vector databases  (Pinecone, Weaviate, Chroma, FAISS).
  • Familiarity with  multi-agent frameworks  (CrewAI, AutoGen, Bedrock AgentCore, LangGraph).
  • Solid understanding of  retrieval pipelines ,  prompt engineering , and  evaluation frameworks  (Ragas, TruLens, Evals).
  • Experience integrating AI agents with  data platforms  (Databricks, Snowflake, AWS S3, Postgres, Neo4j).
  • Knowledge of  workflow orchestration  (Airflow, ECS, Step Functions, MWAA) is a plus.
  • Experience in  regulated industries (Healthcare / Life Sciences)  is a strong advantage.
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