Agentic AI Developers

10 hours ago

New Delhi, India Statsby Solutions Full time

Job Title:Agentic AI Developer We’re looking for anAI Engineerwho can design, develop, and operationalizeagentic AI systemsleveraginglarge language models (LLMs) ,multi-agent orchestration , andknowledge-graph-driven reasoning . You’ll work on projects that combinedata engineering ,automation , andAI reasoning , building production-ready systems that go beyond prompt-based use cases. Key Responsibilities Design and implementmulti-agent architecturesthat enable goal-driven task orchestration and reasoning using frameworks like LangChain, CrewAI, or Bedrock AgentCore. Build and fine-tuneLLM-based agentsfor tasks such as document understanding, information retrieval, knowledge graph enrichment, and workflow automation. Developend-to-end pipelinesthat integrateretrieval-augmented generation (RAG) ,vector databases , andLLM APIs(e.g., OpenAI, Claude, Gemini, Bedrock). Collaborate with data engineers to alignAI agents with structured and unstructured data sources(Snowflake, Databricks, Neo4j, Postgres, etc.). Implementagent memory, context windows, and state managementstrategies for persistent multi-turn reasoning. Contribute to Statsby’s internalAI accelerators and frameworksfor reusable agentic components and observability. Work closely with domain experts in healthcare to embedcompliance, auditability, and explainabilityinto AI solutions. Preferred Skills & Experience Strong programming expertise inPython(FastAPI, LangChain, LlamaIndex, Pydantic, asyncio). Experience withLLM APIs(OpenAI, Anthropic, AWS Bedrock, Vertex AI) andvector databases(Pinecone, Weaviate, Chroma, FAISS). Familiarity withmulti-agent frameworks(CrewAI, AutoGen, Bedrock AgentCore, LangGraph). Solid understanding ofretrieval pipelines ,prompt engineering , andevaluation frameworks(Ragas, TruLens, Evals). Experience integrating AI agents withdata platforms(Databricks, Snowflake, AWS S3, Postgres, Neo4j). Knowledge ofworkflow orchestration(Airflow, ECS, Step Functions, MWAA) is a plus. Experience inregulated industries (Healthcare / Life Sciences)is a strong advantage.

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