🛠 Tech Stack

💼 About This Role

You'll architect the agentic AI platform for next-generation engineering simulation tools at PhysicsX. Your core impact is enabling safe, transparent, and reliable AI workflows across manufacturing, aerospace, and semiconductor industries. This role stands out for its deep integration with physics simulation and production-grade agent infrastructure.

🎯 What You'll Do

• Define and implement agent observability with deep tracing and cost tracking
• Design agent deployment lifecycle covering auth, discovery, and resources
• Architect secure sandboxing environments for agent execution
• Implement evaluation pipelines turning traces into quantitative datasets

📋 Requirements

• 4+ years of platform engineering, backend, or SRE experience
• Production experience designing agentic architectures with LangGraph or PydanticAI
• Strong proficiency in Python, Go, Kubernetes, Docker, and Terraform
• Understanding of LLM lifecycle issues like non-determinism and token-based cost tracking