Elliptic
Engineering
AIInfrastructureEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Infrastructure Engineer at Elliptic. Skills: AI Platform, Infrastructure, LLMs, Agentic workflows. Build core components. Maintain core components”
Industry & Context.
Reasoning about dependencies; Reasoning about failure modes
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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