Principal AI Engineer
Core
Design, build, and deploy autonomous multi-agent workflows and production-grade FastAPI applications for enterprise environments.
Role type
Principal AI Engineer (Agentic Workflows & LLMOps)
Builds
Autonomous multi-agent systems, graph-based agent workflows, and production async web services.
Domain
Life Sciences / Enterprise AI / Agentic Systems
Required skills
Agentic orchestration frameworks, Cloud LLM providers, Production async web frameworks, Docker containerization, Cloud platforms, Expert-level async Python programming, Agentic design patterns, Model Context Protocol, LLMOps practices
Preferred skills
Global life sciences experience, Managing offshore technical teams
Technologies
LangGraph, CrewAI, Autogen, FastAPI, PostgreSQL, Redis, AWS Bedrock, Azure OpenAI, Anthropic Claude, OpenAI GPT-4, Langfuse, LangSmith
Responsibilities
Design and architect graph-based agent workflows with complex state machines; Develop reusable agent node libraries and testing frameworks; Implement real-time agent streaming and API architectures; Integrate cloud-based LLM providers and prompt management systems; Build hybrid intelligence patterns combining LLM reasoning with rule-based logic; Implement evaluation frameworks for agent success and cost optimization; Ensure enterprise security integration and compliance; Mentor junior engineers on async Python patterns and LLMOps best practices.
Seniority
Principal, hands-on IC with mentorship