Principal AI Engineer
Core
Design, build, and deploy autonomous multi-agent workflows and enterprise-grade generative AI solutions using LLMs to enhance employee productivity and support intelligent automation.
Role type
Principal AI Engineer (Generative AI / Agentic Workflows)
Builds
Production-grade autonomous agent systems, multi-agent orchestration workflows, and scalable GenAI-powered applications.
Domain
Life Sciences / Enterprise Generative AI
Deliverable
production ML models
Required skills
Agentic orchestration frameworks (LangGraph, LangChain, CrewAI, Autogen), Cloud LLM providers (AWS Bedrock, Azure OpenAI, Anthropic, OpenAI), Async Python (FastAPI), Docker, CI/CD, Cloud platforms (AWS, Azure, GCP), Model Context Protocol (MCP), LLMOps, Prompt engineering
Preferred skills
Life sciences domain 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; Build production-grade async web applications; Implement real-time agent streaming and API architectures; Integrate cloud-based LLM providers and prompt management systems; Ensure enterprise security integration and compliance; Mentor junior engineers on agent design and LLMOps.
Seniority
Principal, hands-on IC with mentorship