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About this role
Join Elliptic's AI Platform team to build foundational infrastructure for AI development, enhancing product capabilities and reliability.
Description
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.
Responsibilities
- 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 Fabric teams, to understand their AI integration needs and help them build on platform foundations rather than around them
- Keep pace with a rapidly evolving AI landscape: new model capabilities, emerging orchestration patterns, and evaluation techniques. Bring relevant developments to the team's attention and help assess what matters for Elliptic's context
Requirements
- Some hands-on experience building with LLMs or ML systems, whether in production, in side projects, or in an academic context. What matters is that you have gone deep enough to understand how these systems actually behave
- Familiarity with AI protocols (MCP, A2A, ACP) with a passion to stay current with emerging trends in the industry
- Solid software engineering fundamentals: you write clean, testable code, you think about maintainability, and you understand what it means to build something that will be operated in production
- A deep understanding of the context window and an appreciation for its importance in extracting maximum value from the agentic workflow (context rot, compaction etc.)
- Exposure to at least one of: API integration and orchestration, data pipeline development, model evaluation or testing, observability and monitoring tooling. Help us understand where your strengths lie and what you’re keen to start exploring
- A learning orientation that is evident in how you talk about your work: what you have picked up recently, what you are still figuring out, and what pulled you toward AI engineering in the first place
Conditions & Benefits
- Hybrid working and the option to work from almost anywhere for up to 90 days per year
- £500 Remote working budget to set up your home office space
- $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development
- Holidays: 25 days of annual leave + bank holidays
- An extra day for your birthday
- Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave
- Private Health Insurance - we use Vitality!
- Full access to Spill Mental Health Support
- Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries
- £100 Crypto for you!
- Cycle to Work Scheme
Job Details
Market range (est.)$90k–$180k
LocationRemote
AI Score★★★★★★☆☆☆☆ 6/10
PostedApr 21, 2026 (97d ago)
Tags & Skills
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