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Agentic Ai Developers Job Opening In India, India – Now Hiring Statsby Solutions


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.


Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Agentic Ai Potential: Insight & Career Growth Guide


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