Senior Data Scientist (m/w/d), Agentic AI
Core
Design, develop, and productionize complex agentic AI systems, orchestrating LLMs and multi-agent workflows for enterprise applications.
Role type
Senior IC agentic AI engineer (LLM orchestration)
Builds
Scalable GenAI applications, multi-agent workflows, and RAG pipelines for enterprise systems
Domain
Enterprise AI, Agentic AI, LLM Engineering
Deliverable
production ML models
Required skills
Python (expert), Agent Orchestration, State Management, Tool Calling, RAG pipelines, Embeddings, Vector Search, Hybrid Search, LLM APIs, FastAPI, REST APIs, Pydantic, MLflow, Git, CI/CD, Docker, Kubernetes, Guardrails
Preferred skills
Databricks ecosystem (Mosaic AI, Unity Catalog), Azure Cloud Services (Azure OpenAI, Azure AI Search), Multi-Agent Systems, Model Context Protocol (MCP), Document Intelligence (OCR, Information Extraction), Insurance domain knowledge
Technologies
LangGraph, LangChain, LangSmith, Langfuse, RAGAS, Promptfoo, Azure OpenAI, Azure AI Search, Azure Functions, Azure DevOps, Databricks, FastAPI, Pydantic, MLflow, Git, Docker, Kubernetes
Responsibilities
Conceive and develop agentic AI systems and multi-agent workflows; Implement agent orchestration, state management, and tool calling; Develop RAG and document understanding pipelines; Integrate LLM components, APIs, and enterprise systems; Build automated evaluation, testing, and monitoring pipelines; Implement guardrails, human-in-the-loop, and error handling; Deploy and evolve GenAI applications to production readiness