AI Process Engineer – London.

Convolving; Greater London; Vor Ort; GBP 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Training budget

Zusammenfassung

Convolving, a Swiss-based AI services firm operating in London, seeks an AI Process Engineer to ship into clients’ stacks. You will deploy retrieval pipelines, evals, and agentic systems inside client environments across Claude, OpenAI, and Gemini, delivering production-ready artifacts.

You’ll pair with senior engineers for initial sprints, then lead engagements and contribute to internal templates. Strong cloud, Python, and client-facing skills are essential for this role.

Qualifikationen

• Five+ years of software engineering experience, with production LLM shipping in regulated workflows.
• Fluent with Claude, OpenAI, or Gemini APIs; strong opinions on retrieval, evals, and structured output.
• Comfort with at least one major cloud (Azure, AWS or GCP) including identity, networking, and data-residency primitives.
• Proficiency in Python; TypeScript or Go a plus; SQL and data modelling fluency.
• Direct client-facing experience or evidence of public talks, open-source leadership, or mentoring a team.

Aufgaben

• Build retrieval pipelines, evals, and agentic systems inside the client’s production environment across Claude, OpenAI, and Gemini APIs.
• Stand up evaluation suites against real workflow data and treat evals as the unit of progress.
• Wire the workflow into the client’s existing stack (ERP, CRM, document store, ticketing, EHR) with proper auth and data residency.
• Own the controls and observability layer: traceability, structured logs, escalation for hallucinations or low confidence outputs.
• Collaborate with the Functional Expert in discovery and prototype against actual exception cases.
• Deliver a maintainable artifact at sprint close: documented retrieval graph, eval suite, runbook, and on-call handover.
• Share patterns from engagements to the firm’s internal template library.

Kenntnisse

Python

TypeScript

Go

SQL

Cloud (Azure/AWS/GCP)

Tools

Claude API

OpenAI API

Gemini API

Jobbeschreibung

Full-time London Posted 18 May 2026

01The firm

A senior firm, sized like a startup.

Convolving is a Swiss-based AI services firm running fixed-fee sprints for clients across five regulated industries. Delivery is partner-led on every engagement, and the team has shipped 30+ engagements to date. We pair tenured functional operators with AI-native engineers and a Technical Program Manager on every sprint, so the redesign lands in production rather than in a slide deck.

02The role

The engineer who ships into the client's stack.

This is the engineering seat that puts the workflow into production. We hire AI Process Engineers out of two profiles: AI-native engineers from a research or applied-AI background who want client-facing work, and senior backend or platform engineers who have moved into shipping LLM systems in the last 18 to 36 months.

Your seat sits inside the client's environment for the duration of the sprint. You ship retrieval pipelines, evals, agentic systems, and integration plumbing inside Azure, AWS, GCP, or on-prem footprints. The Functional Expert tells you where the controls are; the Technical Program Manager owns the cadence. You own the artifact.

First 90 days: pair with a senior engineer on two live sprints, take engineering lead on a third, and contribute to the internal eval and retrieval template library. By month six you are running one engagement at a time as the engineering owner, with a junior engineer or research apprentice paired in.

03What you’ll do

• Build retrieval pipelines, evals, and agentic systems inside the client's production environment across Claude, OpenAI, and Gemini APIs.
• Stand up evaluation suites against the client's real workflow data, not toy datasets, and treat the eval as the unit of progress.
• Wire the redesigned workflow into the client's existing stack (ERP, CRM, document store, ticketing, EHR, or function-specific systems) using their auth and data-residency posture.
• Own the controls and observability layer: traceability of every model call, structured logs, escalation paths for hallucinated or low-confidence output.
• Sit beside the Functional Expert in discovery and prototype against the actual exception cases they surface, not the happy path.
• Hand over a maintainable artifact at sprint close: documented retrieval graph, eval suite, runbook, and on-call rotation handover to the client's engineering team.
• Feed every engagement’s patterns back into the firm’s internal template library.

04What we’re looking for

• Five or more years of software engineering experience, with at least 12 months shipping LLM systems against production traffic or a regulated workflow.
• Working fluency with at least two of: Claude, OpenAI, Gemini APIs. Strong opinions about retrieval, evals, and structured output.
• Comfort across one major cloud (Azure, AWS, or GCP) including identity, networking, and data-residency primitives.
• Python strong; TypeScript or Go a plus. SQL and basic data-modelling fluency.
• Direct client-facing experience or strong indicators that you can do it: presented at conferences, ran an open-source project with users, mentored a team.
• Allergic to abstraction-for-its-own-sake. We ship working systems, not framework essays.
• UK work authorisation required (we do not sponsor visas at this stage). Based in central London; co-working arrangements supported.

05Nice to have

• Prior forward-deployed engineering experience at Palantir, Tenex, or a similar firm.
• A published or open-source contribution to an evals, retrieval, or agentic framework.
• Experience inside a regulated industry (finance, healthcare, legal, or pharma) including reading working knowledge of the controls vocabulary.
• Reading knowledge of German, French, or Italian for European engagements.
• Comfort writing customer-facing technical memos.

06What you’ll get

Comp. We pay senior market rates for the hub. Compensation is calibrated to London market, not Swiss-discounted. Paid through a UK contractor arrangement with Convolving GmbH. Base plus a sprint-completion bonus tied to adoption, not utilisation.

Sprint model. Engagements are fixed-fee, 3 to 12 weeks. No retainer creep. No timesheet tracking. You finish a sprint, you take a week before the next one starts.

Training budget. Annual GBP 4,500 for conferences, courses, or paid research time on a question that matters to your function or to the firm.

The work itself. One engagement at a time, with the room to push back on the design and own the artifact end-to-end.