Senior AI Engineer
Core
Design and ship production multi-agent AI systems that help research teams interact with expert networks and proprietary knowledge assets.
Role type
Senior AI Engineer (Production Systems)
Builds
Multi-agent workflows, production APIs, retrieval pipelines, and evaluation systems for research tasks.
Domain
Healthcare research, Generative AI, Multi-agent systems
Deliverable
production ML models
Required skills
Python, multi-agent workflow design, orchestration, state management, API development, cloud-native deployment, LLM evaluation, retrieval-augmented generation, Kubernetes, Azure, Databricks
Preferred skills
TypeScript, agent frameworks (LangGraph/LangChain), real-time/streaming systems, voice AI, knowledge graphs, regulated industry experience
Technologies
Python, TypeScript, Kubernetes, Azure, Databricks, containers, CI/CD
Responsibilities
Design multi-agent workflows with tool use and delegation; enforce permissions and safety rules; build reliable state management and error recovery; develop production APIs connecting agents to data; build retrieval pipelines over internal knowledge; define and maintain evaluation systems for accuracy and policy; deploy and operate services on Azure/Databricks; tune models and manage tradeoffs; integrate providers via clear interfaces; establish engineering practices for testing and observability.
Seniority
Senior, hands-on IC
