
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior AI Product Engineer
Senior AI Engineer
About the Role
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. This team is 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 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. The problems are technically challenging, and the work is visible.
The Impact You Will Have
As a Senior AI Engineer on the AI team, you'll:
- Own significant parts of the Agentic stack that powers Elliptic’s copilot.
- 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.
- Partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product.
- Mentor more junior engineers as the team grows.
Responsibilities
You will:
- 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 quality, reliability, and latency of LLM outputs.
- Design and build the backend services, APIs, and event-driven systems supporting these features using TypeScript and Node.js.
- Drive technical design reviews and architecture decisions for AI workstreams.
- Mentor and coach more junior engineers via pair programming, code review, and design feedback.
- Raise the engineering bar across the team through good practices in testing, observability, and AI system reliability.
- Influence cross-team decisions on how AI capabilities integrate with Elliptic’s platform.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Achievements in the First 6 Months
You will aim to:
- Own and ship at least one significant AI capability, end-to-end, from an ambiguous problem statement to production.
- Drive the technical direction of an AI workstream, including architecture, evaluation, and rollout.
- Establish or improve at least one team practice (e.g., evaluations, observability patterns, prompt management, or rollout safety).
- Mentor junior engineers specific to AI engineering practices and facilitate their growth.
- Build strong working relationships across product, web engineering, data engineering, and DevOps.
- Begin to influence adjacent teams on how Elliptic builds with AI.
Requirements & Fit
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, balancing cost vs latency vs quality, deterministic vs probabilistic behavior, and when to use an agent vs a workflow.
- Can take ambiguous AI problems and break them into shippable pieces with clear evaluation criteria.
- Can communicate clearly with non-engineering stakeholders (e.g., product, leadership) about AI capabilities and limitations.
- Have coached or mentored engineers and enjoy raising the bar through reviews, pairing, and feedback.
- Are genuinely curious about blockchain investigations and financial crime prevention.
Ideal Candidate Qualifications
Experience and skills required include:
- 5-8+ years of software engineering experience, with at least 1-2 years of production work building LLM-powered features.
- Direct experience with LLM frameworks such as LangChain, LangGraph, or similar.
- Hands-on experience building agentic systems: inclusive of tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns.
- Practical knowledge of prompt engineering, structured outputs, context management, and trade-offs of LLM use cases.
- Experience building and running evaluations of LLM outputs, including eval sets, LLM-as-judge approaches, and regression testing.
- Strong backend skills in TypeScript / Node.js, with solid API design.
- Cloud experience (e.g., AWS: Lambda, ECS, S3).
- Database proficiency with SQL (Postgres) and exposure to NoSQL.
- Demonstrated ability to mentor and coach engineers.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Bonus Points For:
- Experience with retrieval-augmented generation (RAG) and vector databases (e.g., pgvector, Pinecone).
- Experience designing multi-agent systems and agent orchestration patterns.
- Familiarity with LLM observability tools (e.g., LangSmith, Langfuse, Arize).
- Experience working with multiple model providers (e.g., 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.
- Exposure to distributed or event-driven architectures (e.g., SNS, SQS).
- An interest in cryptocurrency, blockchain, or compliance.
Benefits
Elliptic offers the following benefits:
Working Arrangements
- Hybrid working with the option to work from nearly 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 any agreed growth-related activity.
Vacation & Leave
- 25 days annual leave + bank holidays.
- An extra day off for your birthday.
- Enhanced Parental Leave: Up to 16 weeks’ fully-paid leave for eligible employees via birth or adoption, regardless of gender.
Additional Benefits
- Private Health Insurance via partnership with Vitality.
- Full access to Spill Mental Health Support.
- Life Assurance covering 4x your salary for beneficiaries.
- Cycle to Work Scheme.
Elliptic is committed to Diversity and Inclusion, where individuals from all backgrounds and identities are welcomed. You may not see yourself perfectly matching every requirement – that’s absolutely fine. We foster psychological safety so everyone feels comfortable bringing their whole self to work. Applications from everyone are encouraged.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location