Applied AI Engineer

UpperPlain; Time; Vor Ort; NOK 900.000 - 1.200.000; Vollzeit

Zusammenfassung

UpperPlain is seeking an AI-first engineer to turn repetitive tasks into reliable, repeatable workflows within existing client platforms. You will design end-to-end processes, select appropriate tools, and ensure clear inputs and review paths are built in.

You will collaborate with forward-deployed engineers, measure quality with real business examples, and optimize cost, evaluations, and logs after launch; production is the product.

Qualifikationen

• Hands-on experience shipping model-backed features in production, not only notebooks or demos.
• Built software around existing systems: APIs, queues, databases, and the ugly edge cases.
• You use AI tools constantly for your own work, and you know when the model is wrong.
• Comfort with structured output, tool use, retrieval, and human-in-the-loop design.
• You can sit with an operations lead, watch them process a document, and name the step worth automating first.

Aufgaben

• Turn a repetitive operational task into a reliable AI step with clear inputs, tools, and a review path.
• Build document and email intake, classification, summarization, and record-writing against the client's systems.
• Give agents access to the right tools: search, tickets, inventory, CRM fields, and nothing extra.
• Measure quality with real examples from the business, not only a happy-path prompt.
• Work with forward deployed engineers so the agent lives in the same platform the team already opens.
• Watch cost, evals, logs, and failure cases after launch. Production is the product.

Kenntnisse

Hands-on AI features

AI tool usage

Structured output

Retrieval & human-in-the-loop

Process automation

Tools

APIs

Message queues

Databases

CRM systems

Jobbeschreibung

What you will do

• Turn a repetitive operational task into a reliable AI step with clear inputs, tools, and a review path.
• Build document and email intake, classification, summarization, and record-writing against the client's systems.
• Give agents access to the right tools: search, tickets, inventory, CRM fields, and nothing extra.
• Measure quality with real examples from the business, not only a happy-path prompt.
• Work with forward deployed engineers so the agent lives in the same platform the team already opens.
• Watch cost, evals, logs, and failure cases after launch. Production is the product.

What you bring

• Hands-on experience shipping model-backed features in production, not only notebooks or demos.
• You have built software around existing systems: APIs, queues, databases, and the ugly edge cases.
• You use AI tools constantly for your own work, and you know when the model is wrong.
• Comfort with structured output, tool use, retrieval, and human-in-the-loop design.
• You can sit with an operations lead, watch them process a document, and name the step worth automating first.

AI-first, in practice

• This role is AI-first by design. You think in workflows, tools, and review, not in chatbot wrappers.
• You have used several model providers and you pick them for the job, not for the brand.
• You write evals and keep them close to the live distribution of work.