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.