Senior AI Engineer - Platform
full-time
senior
Posted 4 weeks ago
About this role
About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
The Mission
We’re looking for a hands-on Senior AI Platform Engineer to build the foundations of how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.
Your mission is to build and scale the Agentic stack within this wider ecosystem. You will implement a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.
You will own delivery of key workstreams within our platform's critical infrastructure.
You have practical experience running agents in production and understand the failure modes ("scar tissue").
You are familiar with emerging open standards (such as MCP, A2A, and ACP) and have experience with patterns like durable execution and agent memory.
You are passionate about building a world-class developer experience.
Core Responsibilities
You will own key workstreams within our Agentic ecosystem.
Full-Stack Observability: Implement deep tracing and cost tracking to ensure visibility across the agent lifecycle.
Deployment Patterns: Build tooling that simplifies auth, discoverability, and resource management for deployed agents.
Sandboxing Implementation: Implement secure runtime environments that isolate agents and enforce safety policies.
Systematic Evals: Build the feedback loops that allow domain experts to annotate traces and generate evaluation datasets.
Enterprise Governance: Apply identity and access controls (RBAC, OIDC) to ensure agents act securely in a multi-tenant environment.
The Tech Stack
Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.
Agentic Infrastructure: LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).
Observability & Evals: OTel, LangSmith, Arize, Braintrust.
Who You Are
A Systems Builder: You care about code quality, reliability, and maintainability. You prefer boring, working solutions over complex, fragile ones.
Platform-First: You care deeply about the Developer Experience (DevEx). You build tools that help other engineers move faster.
Security-Minded: You understand the risks of executing LLM-generated code and implementing proper safeguards.
Qualifications
Platform & Backend Foundations:
3+ years of experience in Platform Engineering, Backend, or SRE.
Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
Agentic & AI Engineering:
Production experience designing Agentic architectures (chains, tools, memory).
Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.
Bonus Points
Background in Engineering workflows or simulation platforms.
Experience building internal developer platforms (IDPs).
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model ble
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