Senior AI Product Engineer

Company: Elliptic

Location: London, GB (Remote)

Employment Type: Full-time

About the Role

Elliptic is hiring a Senior AI Engineer to join the AI team behind Elliptic's copilot—an AI product that helps compliance investigators trace fund flows, surface patterns, and respond to risk in real time. This role sits at the centre of designing agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers. You'll join a focused team that cares about quality and gives you the space to do your best work, with real ownership, breadth across AI and backend systems, and the freedom to turn good ideas into shipped products.

Impact

As a Senior AI Engineer, you'll own significant parts of the agentic stack powering Elliptic's copilot. You'll lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product, and mentor more junior engineers as the team grows.

Responsibilities

• Design and build agentic workflows and AI-powered features using LLM frameworks such as LangChain or LangGraph
• Lead the design of agents, tool integrations, and retrieval pipelines that turn complex blockchain data into useful answers for investigators
• Build and own evaluation frameworks that measure and improve the quality, reliability, and latency of LLM outputs
• Design and build backend services, APIs, and event-driven systems that support these features, using TypeScript and Node.js
• Drive technical design reviews and architecture decisions for AI workstreams
• Mentor and coach more junior engineers through pair programming, code review, and design feedback
• Raise the engineering bar across the team by promoting good practices in testing, observability, and AI system reliability
• Influence cross-team decisions on how AI capabilities integrate with the rest of the Elliptic platform

First 6 Months

• Own and ship at least one significant AI capability end-to-end, from ambiguous problem statement through to production
• Drive the technical direction of an AI workstream, including architecture, evaluation, and rollout
• Establish or improve at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety)
• Mentor junior engineers on AI engineering practices and contribute to their growth
• Build strong working relationships across product, web engineering, data engineering, and DevOps
• Start to influence adjacent teams on how Elliptic builds with AI

What We're Looking For

• Care about building AI systems that work reliably in production, not just demos
• Strong instincts for trade-offs specific to LLM systems: cost vs latency vs quality, deterministic vs probabilistic behaviour, when to use an agent vs a workflow
• Ability to take ambiguous AI problems and break them into shippable pieces with clear evaluation criteria
• Clear communication with non-engineers (product, stakeholders, leadership) about AI capabilities and limitations
• Experience coaching or mentoring other engineers and enjoying raising the bar through reviews, pairing, and feedback
• Genuine curiosity about the domain and interest in blockchain investigations and financial crime prevention

Requirements

• 5-8+ years of software engineering experience, with at least 1-2 years of meaningful production work building LLM-powered features
• Direct experience with LLM frameworks such as LangChain, LangGraph, or similar
• Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns
• Practical understanding of prompt engineering, structured outputs, context management, and managing the trade-offs of working with LLMs
• Experience building and running evaluations for LLM outputs (eval sets, LLM-as-judge, regression testing)
• Strong backend skills in TypeScript / Node.js, with solid API design
• Cloud experience (AWS: Lambda, ECS, S3, or similar)
• Database proficiency across SQL (Postgres) and some NoSQL exposure
• Demonstrated ability to mentor and coach other engineers
• Uses AI coding assistants (Copilot, Cursor, Claude, etc.) critically and effectively as part of day-to-day workflow

Bonus Points

• Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar)
• Experience designing multi-agent systems and agent orchestration patterns
• Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar)
• Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning
• Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling
• Experience with observability platforms like Datadog
• Distributed or event-driven architectures (SNS, SQS)
• Interest in cryptocurrency, blockchain, or compliance

Benefits

How We Work

• Hybrid working with 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

Learning & Development

• $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development

Vacation & Leave

• 25 days of annual leave + bank holidays
• An extra day for your birthday
• Enhanced parental leave: 16 weeks fully-paid leave for eligible employees, regardless of gender or whether they become a parent by birth or adoption

Other Benefits

• Private Health Insurance (Vitality)
• Full access to Spill Mental Health Support
• Life Assurance: 4 times your salary to your beneficiaries
• Cycle to Work Scheme