Principal AI Engineer
Core
Architecting the Agentic stack and production-grade platform for AI-driven simulation software used by engineering teams in Aerospace, Defense, and Manufacturing.
Role type
Principal AI Engineer (Platform Architect)
Builds
Production-grade agentic infrastructure, deployment lifecycles, observability stacks, and secure sandboxing environments for AI agents.
Domain
Deep-tech simulation software for engineering and manufacturing (Aerospace, Defense, Semiconductors, Automotive)
Deliverable
production ML models | infrastructure
Required skills
Python, Go, Kubernetes, Docker, Terraform, LangGraph, Temporal, Vector DBs, LLM lifecycle management, agent memory patterns, durable execution, secure sandboxing, identity and access management
Preferred skills
Experience with internal developer platforms (IDPs), background in engineering workflows or simulation platforms
Technologies
Python, Go, TypeScript, Kubernetes, Docker, Terraform, LangGraph, LangChain, Temporal, Pinecone, Weaviate, OTel, LangSmith, Arize, Braintrust
Responsibilities
Design high-level architecture for the Agentic ecosystem; implement agent observability and cost tracking; deliver intuitive deployment lifecycles; architect secure agent sandboxing environments; implement evaluation stacks for qualitative feedback; implement robust identity and access patterns for regulated environments.
Seniority
Principal, hands-on IC with strategic direction setting