Forward Deployed Engineer Remote / Hybrid · →

The seat is the one the rest of the site already describes: you sit inside the client team, on their platform, and you leave behind a system they can operate — not a slide.Own a deployment from the first architecture note to a production system with a health check and an owner on the client side.Write and review production code across the services the delivery actually needs — Python, TypeScript, the stack the client already runs.Embed with their engineers. Map the workflow. Remove the blocker before it becomes a status slide.Turn a pattern that worked into a library, a playbook, or an internal SDK so the next estate is not a rewrite.Bring eval numbers and operator notes back to the people who train and productise the models, so the next build is not a guess.What you will doOwn a deployment from the first architecture note to a production system with a health check and an owner on the client side.Write and review production code across the services the delivery actually needs — Python, TypeScript, the stack the client already runs.Embed with their engineers. Map the workflow. Remove the blocker before it becomes a status slide.Turn a pattern that worked into a library, a playbook, or an internal SDK so the next estate is not a rewrite.Bring eval numbers and operator notes back to the people who train and productise the models, so the next build is not a guess.What you bringFive or more years shipping full-stack applications and cloud services — Python, TypeScript, Node, React, or the equivalent you will defend.LLM or foundation-model systems in production, and a clear view of how non-deterministic output changes the interface and the tests.Microservices, APIs, containers, and an observability path you have actually paged on.The ability to turn a workflow into a software requirement, and to say the same thing to a sponsor and to the engineer who will merge the PR.A record of simplifying a system, naming the deployment risk early, and cutting scope when the calendar and the quality bar cannot both move.Useful, not requiredAWS, Azure or GCP; Kubernetes; Terraform — used on a live estate, not a tutorial.Eval harnesses, prompt pipelines, or retrieval systems on a workflow where a wrong answer costs money or trust.

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