Lead Data Scientist

Hi 

Remote

• Agent Design & Orchestration: Develop autonomous agents with frameworks like LangGraph, Semantic Kernel, or Azure AI Agents SDK.
• Web Service Development: Build scalable, async APIs via FastAPI for front-end integration.
• Tool & Function Calling: Create and integrate custom tools (Python functions, APIs, databases) for real-world tasks.
• State Management: Handle persistent memory for multi-turn agent interactions.
• Azure Cloud Integration: Deploy and scale using Azure App Service, Container Instances, or Functions.
• Prompt Engineering & Evaluation: Refine prompts and evaluate with tools like Ragas or Promptflow for reliability.

• Programming: Expert in Python, including async and type hinting.
• API Frameworks: Experience with production FastAPI and Pydantic services.
• Azure AI Ecosystem: Hands-on with Azure AI Foundry, OpenAI Service, and AI Search.
• Agentic Frameworks: Skilled in LangGraph, CrewAI, Autogen, or Azure AI Agents SDK.
• Vector Databases: Familiar with Azure AI Search, Pinecone, or Weaviate for RAG.
• Cloud Infrastructure: Proficient in Azure CLI/SDK for compute, identities, and Key Vault.

• Experience: 12+ years in Data Science/AI Engineering; 2+ years in Generative AI and Agentic systems. Preference for experience in the healthcare insurance domain.
• Education: Bachelor’s or Master’s in Computer Science, AI, or related field.
• Portfolio: Proven deployments of AI agents from prototype to production cloud.

• Architectural Thinker: Design scalable systems around models, beyond simple prompting.
• Python Pro: Favor async, high-performance code.
• Agent Enthusiast: Passionate about evolving from chatbots to autonomous agents.