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Senior LLM Engineer — customer copilots
Revolut
Diese Ausschreibung ist optimiert für KI-native Talente : klare Skills und Tools, damit Kandidaten vor der Bewerbung einschätzen können, ob es passt — und Sie weniger Fehlpassungen screenen.
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Arbeitsort-Modell Hybrid
Standort 7 Westferry Circus, London, England E14 4HD, United Kingdom · Hybrid
Vergütung £100k–£135k + bonus Benefits Stock options, private healthcare, flexible hybrid. Bewerbung Share eval design for an LLM feature in a regulated context.
Veröffentlicht 27. Mai 2026
Aktualisiert 8. Juli 2026 Revolut is hiring a Senior Senior LLM Engineer — customer copilots on the AI platform team (Hybrid · London, United Kingdom). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Revolut serves tens of millions of customers globally with AI-assisted support, fraud, and personalization features under strict regulatory expectations.
We need a Senior LLM Engineer in London to own copilots, tool-calling workflows, and eval harnesses for customer-facing flows.
What you will do
Ship production LLM copilots in fintech with clear evaluation, monitoring, and rollback paths—not demo-only notebooks. Partner with product, design, and domain experts on requirements, trade-offs, and safe rollout. Improve data quality, labeling, and offline metrics that correlate with business KPIs. Document architectures and runbooks for on-call and customer-facing teams. Mentor engineers on testing, observability, and responsible AI practices. What we look for
Strong Python and modern ML/LLM stack experience with multiple shipped features. Comfort with SQL, experimentation, and communicating results to non-technical stakeholders. Pragmatic ownership from prototype to production—including cost and latency budgets. Eligible to work in the listed country; professional English (French a plus for Paris roles). Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
OpenAI API
Calling frontier APIs with retries, cost controls, prompt versioning, and safety filters.
Vector DBs Tool
Embedding storage, hybrid search, and freshness strategies for RAG and semantic retrieval.
AWS Tool
Regular use of AWS in the LLM & generative AI stack—configuration, debugging, and team conventions.
✓ You can show evidence in your application: Share eval design for an LLM feature in a regulated context. ✓ Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, Vector DBs, and AWS. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · London, United Kingdom)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: £100k–£135k + bonus, benefits in At a glance) and your expectations align. Was der Arbeitgeber möchte
Share eval design for an LLM feature in a regulated context.
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Vorschläge
KI-Talente, die auch passen könnten Profile nach Überschneidung mit Skills und Tools dieser Rolle — hilfreich beim Team-Recruiting oder für Alternativen.
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Titel
Senior LLM Engineer — customer copilots
Bewerben Für Teams, die Menschen einstellen, die mit KI arbeiten — nicht nur drumherum.
Kandidaten sehen Skills und Tools sofort; Sie erhalten strukturierte Bewerbungen in einem Dashboard.
Erreichen Sie KI-Praktiker mit klaren, nachweisbaren Erwartungen.
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