Senior AI Product Engineer

Skills

About the Role

You'll join the AI team behind Elliptic's copilot, the AI product that helps compliance investigators trace fund flows, surface patterns, and respond to risk in real time. You'll own significant parts of the agentic stack, designing agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers. You'll lead the design of agents, tool integrations, and retrieval pipelines, and partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product. You'll also mentor more junior engineers as the team grows, drive technical design reviews, and influence cross-team decisions on how AI capabilities integrate with the rest of the Elliptic platform.

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 their day-to-day workflow

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 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

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
• 25 days of annual leave plus bank holidays
• An extra day for your birthday
• 16 weeks fully-paid parental leave
• Private Health Insurance (Vitality)
• Full access to Spill Mental Health Support
• Life Assurance (4 times salary)
• Cycle to Work Scheme