About Code Metal

Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others.
Learn more at codemetal.ai.

The Role

Code Metal's engineering teams are building AI-driven code transpilation, modernization, optimization, modeling and simulation solutions. They all need the same foundations: models to serve, agents to run, context to manage, and results to measure. Our AI Platform team builds those foundations.

As a Staff AI Platform Engineer, you'll be a technical lead on this team. You'll architect and build the AI enablement stack our engineers depend on, from GPU inference serving and model gateway up through agent harnesses, context engineering, observability, and AI experimentation management. It is an internal platform, but we're building it to product standard.

This is an engineering role first. Most of your time goes to designing, building, and operating production systems. You'll also need solid data science and AI research fundamentals: you'll work closely with our AI Research team, and you'll sometimes run experiments yourself when a platform decision needs evidence.

Core Responsibilities

• Set the technical direction and architecture for Code Metal's AI platform and the team building it. Own the design docs and RFCs, help with build-vs-buy decisions, and align with other technical stakeholders.

• Deploy, benchmark, and tune elastic, production inference for open-weight models on runtimes such as vLLM, SGLang, and TensorRT-LLM.

• Own the model gateway that teams use to reach self-hosted and commercial models, with consistent auth, routing, failover, quotas, and cost attribution.

• Design reusable agent harnesses and orchestration primitives that product teams can compose into reliable, verifiable workflows.