At a Glance
- Tasks: Design and build AI systems that help catch financial criminals using blockchain data.
- Company: Join Elliptic, a leader in AI for compliance investigations.
- Benefits: Enjoy remote work flexibility, generous leave, and a $1,000 learning budget.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact in preventing financial crime with cutting-edge technology.
- Qualifications: 5-8 years of software engineering experience, especially with LLM-powered features.
The predicted salary is between 63000 - 77000 £ per year.
Do you want to build the AI systems that compliance teams rely on to investigate real financial crime? Are you excited about taking agentic workflows from prototype to production at scale? Do you want your work to directly help catch bad actors moving money across blockchains? Elliptic is hiring a Senior AI Engineer to join our AI team. It is the team behind Elliptic's copilot, the 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 that work, designing the agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers.
You'll join a focused team that cares about the quality of what it builds and gives you the space to do your best work. There's real ownership here, breadth across AI and backend systems, and the freedom to turn good ideas into shipped products. As a Senior AI Engineer on the AI team, you'll own significant parts of the Agentic stack that power 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 you'll mentor more junior engineers as the team grows.
What you will do:
- Design and build agentic workflows and AI-powered features that power Elliptic's copilot, 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 the 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.
- Owned and shipped at least one significant AI capability end-to-end, from ambiguous problem statement through to production.
- Driven the technical direction of an AI workstream, including architecture, evaluation, and rollout.
- Established or improved at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety).
- Mentored junior engineers on AI engineering practices and contributed to their growth.
- Built strong working relationships across product, web engineering, data engineering, and DevOps.
- Started to influence adjacent teams on how Elliptic builds with AI.
You will be a great fit here if you:
- Care about building AI systems that work reliably in production, not just demos.
- Have 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.
- Can take ambiguous AI problems and break them into shippable pieces with clear evaluation criteria.
- Communicate clearly with non-engineers (product, stakeholders, leadership) about AI capabilities and limitations.
- Are genuinely curious about the domain and find blockchain investigations and financial crime prevention interesting.
Our ideal candidate has:
- 5-8+ years of software engineering experience, with at least 1-2 years of meaningful production work building LLM-powered features.
- Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns.
- 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.
- Uses AI coding assistants (Copilot, Cursor, Claude, etc.)
Bonus points for:
- Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar).
- Interest in cryptocurrency, blockchain, or compliance.
Hybrid working and the option to work from almost anywhere for up to 90 days per year.
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.
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 know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day.
Ingeniero Proyectista in London employer: Elliptic
At Elliptic, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the fast-paced world of crypto compliance. Our dynamic work culture fosters personal growth through comprehensive training, a supportive team environment, and exciting opportunities to engage with industry leaders. With competitive benefits, including flexible working arrangements and a commitment to diversity and inclusion, we empower our employees to make a meaningful impact not just within the company, but across the entire financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Ingeniero Proyectista in London
✨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
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✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Ingeniero Proyectista in London
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.