Trida AI is expanding its Forward Deployed Engineering bench for upcoming customer engagements. Engineers in this pool are first in line for client deployments as engagements start.

About the role: Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Success is production adoption and measurable workflow impact, not a demo. Travel to customer sites up to 30% may be required depending on the engagement.

In this role you will:

• Build eval harnesses: offline benchmarks, golden datasets and regression suites for customer AI systems

Define customer-specific acceptance criteria and launch-readiness thresholds

Implement tracing, observability, guardrails and monitoring for agents in production

Run model and framework upgrade evaluations — quality, safety, latency and cost

Make quality legible to customer stakeholders with evidence, not anecdotes

You may be a good fit if:

Production Python and hands-on eval-framework and LLM observability work

Real understanding of model behaviour, safety and latency/cost trade-offs

Statistical rigour: you design samples and thresholds you can defend

Must be authorized to work in the US; Trida AI does not provide sponsorship. Trida AI LLC is an equal opportunity employer. We welcome applicants of all backgrounds. If you need an accommodation in the application process, contact careers@trida.ai. Location: Remote — United States (Charlotte, NC base).