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Meramia Technologies LTD · Time, Rogaland, Norway

Forward Deployed Engineer

full timePosted today
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Stack mentioned

pythontypescriptreactllmmicroservicesobservabilityawsazuregcpkubernetesterraform

Role overview

The work.

Discovery, architecture, a prototype that can be scored, then a rollout that stays up. The work is full-stack when the interface is the delivery, and it is infrastructure when the model will not stay honest without it.

You write the code. You also write down the trade: what shipped, what was refused, and which eval the live environment changed.

01

What you will do

- 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.

02

What you bring

- Five 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.

03

Useful, not required

- AWS, 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.

04

What to send

- A CV and the two profile links the form asks for.

- One production system you took from a sketch to a release the client still runs — what you measured, and what you would not ship.

05

The first quarter

- Learn the model APIs, deployment path, and security bar; sit in on a live delivery cycle.

- Own a client integration and put a working prototype into production with evals attached.

- Stabilise the release and turn the lesson into a tool or note the next FDE can use.

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Forward Deployed Engineer at Meramia Technologies LTD (Time, Rogaland, Norway) | AI Jobs Map