AI Product Engineer

AI Product Engineer

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build AI-powered features for crypto compliance tools.
  • Company: Join Elliptic, a leader in making crypto markets safer and more transparent.
  • Benefits: Enjoy hybrid working, generous leave, and a $1,000 learning budget.
  • Other info: Diverse team culture welcoming all backgrounds and perspectives.
  • Why this job: Make a real impact in the crypto world with cutting-edge AI technology.
  • Qualifications: 3-6 years of software engineering experience, especially with LLM frameworks.

The predicted salary is between 70000 - 90000 £ per year.

Elliptic is building AI-powered tools that help compliance teams investigate crypto transactions faster and with greater confidence. Our Automation Forge team sits at the centre of that work, designing the AI systems and backend services behind Elliptic's copilot, the product that helps investigators trace fund flows, spot patterns, and respond to risk in real time. We're looking for an AI Engineer to help us design, build, and improve the LLM-powered features that make this possible.

The impact you will have

As an AI Engineer on the Automation Forge team, you'll build the agentic workflows, evaluation guardrails, retrieval pipelines, and supporting services that power Elliptic's copilot and other AI-driven features. You’ll work with product managers, web engineers, and your engineering lead to turn complex blockchain data into intelligent, user-friendly experiences. Your work will help compliance teams trace fund flows, uncover patterns, and respond to risk faster and more confidently. Working collaboratively across disciplines, you’ll contribute to impactful features and continuously improve quality, reliability, and usefulness of our AI systems. Through this work, you’ll play an essential role in advancing Elliptic’s mission to make crypto markets safer, more transparent, and more efficient.

What you will do:

  • Build and maintain AI-powered features and agentic workflows that power Elliptic's copilot, using LLM frameworks such as LangChain and LangGraph.
  • Design prompts, tool integrations, and retrieval pipelines that turn complex blockchain data into useful answers for investigators.
  • Develop and run evaluations to measure and improve the quality, reliability, and latency of LLM outputs.
  • Design and build the backend services, APIs, and event-driven systems that support these features, using TypeScript and Node.js.
  • Collaborate with product, domain experts, web engineers, and your engineering lead to take features from prototype through to production.
  • Take part in technical design reviews, planning, and code reviews.
  • Care about how your services run in production: observability, cost, and reliability of LLM-based systems.

What You’ll Bring

  • 3 to 6 years of software engineering experience, with meaningful hands‑on work building LLM-powered features in production.
  • Direct experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
  • Practical understanding of prompt engineering, tool/function calling, subagents, structured outputs, and managing context windows.
  • Experience evaluating LLM outputs and iterating on prompts/pipelines, including building eval sets, measuring quality, and using observability tools (LangSmith, Langfuse, Arize, or similar).
  • 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.
  • Clear thinking about system design and trade‑offs, especially the ones specific to LLM systems: cost vs latency vs quality, deterministic vs probabilistic behaviour.
  • Strong collaboration skills across engineering, product, and design.

Nice to Have

  • Experience with agentic patterns: planning, multi‑step reasoning, tool use loops.
  • Experience working with multiple model providers (Anthropic, OpenAI, open‑weight models).
  • Hands‑on Terraform, Kubernetes, or infrastructure‑as‑code experience.
  • Experience with observability platforms like Datadog (metrics, tracing, alerting).
  • Distributed or event‑driven architectures (SNS, SQS, etc.).
  • Interest in cryptocurrency, blockchain, or compliance, though we’re happy to bring you up to speed.

Don’t Meet Every Requirement?

If this role excites you but your experience doesn’t perfectly match every bullet point, we’d still love to hear from you. We value curiosity, willingness to learn, and diverse perspectives just as much as specific tool experience. Ensuring that people of all backgrounds, identities, and experiences feel welcome at Elliptic is an ongoing priority for us. We believe diverse thinking enables us to solve problems in new ways — benefiting both our team and our customers.

Job Benefits

  • How we work: 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.
  • Learning & Development: $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development.
  • Vacation/ Leave: 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.
  • Benefits: 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. Cycle to Work Scheme.

We’re committed to creating a diverse, inclusive and equitable workplace. Our people are our biggest asset; we have mountain bikers, skiers, surfers, runners, gamers, actors, musicians, social media influencers, and every other variety of people. We have family people, single people, extroverts, introverts, and everything in between. We welcome and embrace people from all backgrounds and identities at Elliptic, and encourage you to apply for any role that gets you fired up, even if you’re not sure at first glance that you have everything we’ve mentioned.

AI Product Engineer employer: Elliptic

At Elliptic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through our generous learning and development budget, alongside a hybrid working model that allows for flexibility and work-life balance. With a focus on diversity and inclusion, we celebrate the unique backgrounds of our team members, making Elliptic not just a workplace, but a community where everyone can thrive.

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Contact Details:

Elliptic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Product Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Elliptic or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Elliptic.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Elliptic.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Elliptic that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Product Engineer

LLM frameworks (LangChain, LangGraph, LlamaIndex)
Prompt engineering
Tool/function calling
Subagents
Structured outputs
Managing context windows
Evaluating LLM outputs

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Elliptic.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Elliptic and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Elliptic

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Elliptic uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.