Elliptic

Engineering

AIInfrastructureEngineer

£75–110k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Infrastructure Engineer at Elliptic. Skills: AI Platform, Infrastructure, LLMs, Agentic workflows. Build core components. Maintain core components”

Industry & Context.

Engineering
Problems you'll solve

Reasoning about dependencies; Reasoning about failure modes

Eligibility Requirements

Work from anywhere 90 days

What They're Looking For.

Must Have

Hands-on experience building with LLMs, Familiarity with AI protocols, Solid software engineering fundamentals, Deep understanding of context window, Exposure to API integration, Exposure to data pipeline development, Exposure to model evaluation, Exposure to testing, Exposure to observability tooling, Exposure to monitoring tooling

Nice to Have

Hands-on experience with LangChain, Hands-on experience with LangSmith, Hands-on experience with Databricks AgentBricks, Experience with prompt engineering, Experience with evaluation dataset design, Experience with LLM output quality assessment, Interest in crypto ecosystem, Experience in regulated domain, Familiarity with MLflow, Familiarity with Databricks ML

What You'll Do.

Build core components

Maintain core components

Support agentic workflows

Instrument AI systems

Surface latency signals

Surface quality signals

Contribute to dashboards

Contribute to alerting

Contribute to prompt tooling

Govern prompt writing

Govern prompt versioning

Govern prompt testing

Work with domain engineers

Understand AI integration needs

Help build on platform

Keep pace with AI landscape

Bring developments to team

Assess relevant developments

How You'll Work.

Team & Collaboration

Domain teams; Real-time Risk team; Investigations team; Data Fabric team; Cross-functional teams

Communication Scope

Direct communication

Full Job Description

The impact you will have: This is an opportunity to join Elliptic's AI Platform team at its inception to help build the foundational infrastructure that will power how Elliptic's products think, reason, and act. You will be one of the first engineers working on a centralised AI platform whose purpose is to make AI development faster, safer, and more coherent across the business. That means building the plumbing: the pipelines, the tooling, the evaluation harnesses, the observability layers, and the integration patterns that domain teams will rely on to ship with confidence. You don't need to have done all of this before. What matters is that you are genuinely energised by AI, that you think carefully about how systems fit together, and that you take real pride in building things that others can build on top of. This is a role where curiosity and learning velocity matter as much as prior experience, and where the work you do in the first year will have a lasting shape on how AI, both internally and customer-facing, is engineered at Elliptic. What you will do: - Build and maintain core components of Elliptic's AI platform: model serving infrastructure, prompt pipelines, evaluation harnesses, and integration patterns that allow domain teams to use AI reliably and at scale - Support the development of agentic workflows, including tooling, orchestration scaffolding, and reliability mechanisms, as Elliptic moves toward more autonomous AI capabilities in its products - Instrument AI systems for observability: tracing model calls, tracking token costs, surfacing latency and quality signals, and contributing to the dashboards and alerting that keep production AI systems healthy - Contribute to the tooling and frameworks that govern how prompts are written, versioned, and tested across the organisation, helping to raise the baseline quality of AI interactions across teams - Work closely with engineers in domain teams, such as our Real-time Risk, Investigations, and Data Fabri

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