Agentic AI Developers

7 days ago

Mumbai, India Statsby Solutions Full time

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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