You will build the foundations every other AI engineer at the company depends on: the model gateway, the evaluation harness, the observability stack, the safety guardrails and the internal accelerators that turn what would be a six-week setup into a one-day setup.

This is the role most firms forget to invest in — and quietly pay for, in slow engagements, inconsistent quality, and engineers reinventing the same plumbing on every project. We are not making that mistake.

Responsibilities

• Design, build, and operate the shared platform that our AI engineering teams use across every customer engagement. This includes: a model gateway (multi-provider routing, fallback, cost and rate-limit controls), an evaluation harness, prompt and dataset versioning, observability and tracing for AI workloads, safety and policy guardrails, and a small set of internal accelerators (templates, libraries, scaffolding)
• Make the platform a force multiplier. Your wo...