Principal AI Engineer
Core
Design, build, and deploy autonomous multi-agent workflows and production-grade FastAPI applications for enterprise services.
Role type
Principal AI Engineer (Agentic Workflows)
Builds
Autonomous multi-agent systems, graph-based agent workflows, and production async web applications.
Domain
Life Sciences / AI Engineering
Deliverable
production ML models
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 development 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 10+ nodes; Develop reusable agent node libraries and testing frameworks; Implement real-time agent streaming using SSE and WebSocket; Integrate cloud-based LLM providers and design prompt management systems; Implement conversation state persistence and tool-calling protocols; Develop hybrid intelligence patterns combining LLM reasoning with rule-based logic; Integrate observability platforms for agent tracing and cost optimization; Implement evaluation frameworks for agent success and reasoning quality; Ensure enterprise security integration and compliance with Responsible AI standards; Mentor junior engineers on async Python patterns and LLMOps best practices.
