At a Glance
- Tasks: Build and ship innovative AI products that transform finance for real customers.
- Company: Fast-growing tech company revolutionising revenue management with AI.
- Benefits: Competitive salary, equity options, generous holiday, and flexible pension.
- Other info: Collaborative culture with opportunities for rapid career growth.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: Experience with LLM-based systems and resilient backend development.
The predicted salary is between 115000 - 130000 £ per year.
About SequenceAt Sequence, we help build the platform that lets companies get paid. We already process $1bn+ in annual invoice volume and are growing fast. Our AI‑powered revenue platform replaces fragile spreadsheets and legacy systems with software that modern finance teams love to use. Companies like Cognition, incident.io, MoonPay, and 100+ others trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition. Founded by repeat entrepreneurs, we hit 10× ARR growth last year and just closed a $20M Series A led by 645 Ventures, alongside a16z and other exceptional founders. We’re scaling quickly and looking for engineers who can own end‑to‑end build, ship, and operate reliable AI products.
What You'll Be Doing
We care deeply about the quality of the product we build. You will own engineering features from discovery to shipping and ensure they work for real customers. Your responsibilities include building:
- AI infrastructure that supports reliable software on top of non‑deterministic models, including agentic workflows, prompt iteration, tool integration, and evaluation.
- AI‑powered approval workflows that let customers configure flexible routing in natural language and translate it into deterministic, auditable business logic.
- An intelligent collections agent that runs full payment‑collection workflows autonomously based on natural‑language instructions.
- Other production backend systems that demand resilience, security, and high reliability.
We are a lean team of 20+ engineers. Your work will influence fundamental architecture early and will become critical to customers as the product matures.
Qualifications
- Been a builder who shipped LLM‑based systems to real customers and has hands‑on experience with production failures.
- Designed agentic systems and understands building blocks such as embeddings, memory, tool use, long‑running state, and recovery from partial failures.
- Built evaluation infrastructure (datasets, LLM as judge, prompt regression tests, monitoring) and can articulate what a robust system looks like.
- Respect the weight of building business‑critical systems on non‑deterministic models and can write resilient code.
- Has informed opinions about tools for building, evaluating, and securely running multi‑provider AI systems in production.
- Has shipped production backend systems and cares about reliability.
- Cares about customers and understands the "why" behind features.
- Comfortable with ambiguity, collaborates early, shares work‑in‑progress, and adapts to feedback.
- Communicates clearly and concisely.
Tech Stack
We hire for ability, not a specific stack. Most engineers learn Kotlin. Typical components include:
- Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k)
- Storage: Postgres, BigQuery
- AI Platform: Vertex AI, Langsmith, and more to come
- Async Messaging: Google Cloud Pub/Sub
- Infrastructure: Google Cloud, Terraform
- Frontend: TypeScript, React
- Monitoring: Google Cloud Monitoring, Sentry
How We Work
Based in London and New York, we spend three days in the office per week with a team lunch on Wednesdays. Cross‑functional product teams work closely with design and product. We host company off‑sites twice a year and value flexibility and rapid decision making.
Compensation & Benefits
- Salary: £115,000 – £130,000
- Equity: Meaningful share options
- Holiday: 25 days + bank holidays
- Modern, flexible pension via Penfold with salary sacrifice available
- Visa sponsorship available
Interview Process
Our process typically takes about two weeks. It includes a quick initial screening, a technical interview focusing on system design and coding, a real‑world problem discussion, and a culture fit chat.
AI Engineer employer: Sequence
At Sequence, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an AI Engineer, you'll have the opportunity to shape cutting-edge AI products in a fast-growing company, with meaningful equity options and a flexible work environment in London. We prioritise employee growth through hands-on experience and regular team off-sites, ensuring that your contributions directly impact our customers and the future of finance technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Sequence or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any LLM-based systems you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview process by brushing up on system design and coding challenges. Practice makes perfect, and being well-prepared will help you feel more confident when discussing real-world problems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Sequence.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with LLM-based systems and any relevant projects you've worked on. We want to see how your skills align with what we do at Sequence!
Showcase Your Projects:Include links to your GitHub or any other portfolio showcasing your work. If you've built resilient AI products or backend systems, let us see them! This gives us a better idea of your hands-on experience.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clear communication, so make sure your points are easy to understand. Avoid jargon unless it's necessary to explain your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Sequence
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM-based systems and agentic workflows. Be ready to discuss your hands-on experience with production failures and how you've tackled them. This will show that you understand the complexities of building reliable AI products.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved in previous roles, especially those related to AI infrastructure and backend systems. Think about specific examples where you designed resilient code or built evaluation infrastructure, as this will demonstrate your ability to handle challenges effectively.
✨Communicate Clearly
During the interview, focus on articulating your thoughts clearly and concisely. Since the role involves collaboration and sharing work-in-progress, showing that you can communicate complex ideas simply will be a big plus. Practice explaining your past projects in a way that's easy to understand.
✨Embrace Ambiguity
Be prepared to discuss how you handle ambiguity and adapt to feedback. The company values flexibility and rapid decision-making, so sharing examples of how you've thrived in uncertain situations will highlight your fit for their culture. Show them you're someone who can pivot when needed!
