Senior Fullstack Engineer - AI Enablement
Senior Fullstack Engineer - AI Enablement

Senior Fullstack Engineer - AI Enablement

Full-Time 48000 - 72000 £ / year (est.) No home office possible
OakNorth

At a Glance

  • Tasks: Design and build AI-powered systems to enhance software development at OakNorth.
  • Company: Join OakNorth, a bank for ambitious businesses, driving innovation in finance.
  • Benefits: Enjoy flexible hybrid work, competitive salary, equity, and 25 days holiday.
  • Why this job: Make a real impact by enabling AI practices across teams and projects.
  • Qualifications: 5+ years in engineering, strong product mindset, and AI-native experience required.
  • Other info: Collaborative culture with opportunities for professional growth and team socials.

The predicted salary is between 48000 - 72000 £ per year.

At OakNorth, we’re building a bank for ambitious businesses, and we believe the next step-change in how we build software comes from AI-native engineering. The AI Enablement team exists to help product and engineering teams across the bank adopt AI practices and tools safely, effectively, and at scale, accelerating time-to-market while maintaining our high bar for quality, security, and reliability. This is a senior, hands-on engineering role for people who already build with AI as part of their daily workflow and want to help others do the same.

Team Mission

  • As enablers, we partner with product and engineering teams to adopt AI practices and tools safely and effectively by building internal platforms, agents, and workflows that eliminate friction and accelerate delivery throughout the software development lifecycle.
  • As builders, we experiment with and ship AI-native product features across OakNorth’s product portfolio, proving what’s possible, establishing patterns, and moving fast without a long-term ownership burden.

The Role

As a Senior AI-Native Engineer, you will design, build, and operate AI-powered systems that directly improve how software is developed and operated at OakNorth. At this level, you'll operate with significant autonomy, shape solutions end-to-end, and influence AI adoption across multiple teams.

You will:

  • Build production-grade AI tools and agents
  • Product ideation and discovery
  • Technical specification review and early feedback
  • Code generation, refactoring, and review
  • Documentation generation and maintenance
  • Test generation and quality validation
  • Observability, log analysis, and incident support

Ship AI-native product features:

  • Experiment with AI-powered capabilities across our product portfolio
  • Move from concept to production quickly, proving what’s possible
  • Establish reusable patterns and hand off to product teams for long-term ownership
  • Balance rapid experimentation with production-quality delivery

Deliver AI-enabled workflows end-to-end:

  • Agents that inspect logs and metrics to surface bugs, risks, or performance issues
  • Automated pull requests with proposed fixes or improvements
  • AI-assisted review of design documents and architectural decisions

Own initiatives from discovery to adoption:

  • Problem framing → solution design → implementation → rollout → measuring impact
  • Partner with product and engineering teams to embed AI tools into daily workflows, ensuring real adoption and measurable outcomes
  • Define standards and guardrails for AI usage in a regulated, security-conscious environment
  • Raise AI fluency across the organisation by sharing learnings, patterns, and examples that help others level up

What We’re Looking For

  • Strong engineering fundamentals
  • 5+ years building and operating production systems
  • Comfortable working full-stack or with deep expertise in backend/platform engineering
  • Proven track record in designing and building systems used by other engineers
  • Strong product mindset: you measure success by outcomes and adoption, not just output
  • Skilled at rapid experimentation: you’re comfortable with uncertainty, test ideas by shipping quick prototypes, and learn as much from failures as successes
  • Skilled at breaking down ambiguous problems into practical, scalable solutions
  • Already AI-native: you’re already in the habit of using AI tools daily to accelerate your work (coding, debugging, reviews, documentation)
  • Treating AI as a collaborator in your workflow, not a novelty
  • Thinking in terms of agents, workflows, and automation
  • Iterating quickly: experiment → learn → refine → scale

Nice to have

  • Experience building or orchestrating AI agents or multi-step workflows
  • Familiarity with LLM APIs, prompt engineering, or tool-calling patterns
  • Background integrating AI into CI/CD pipelines, observability, or developer tooling
  • Experience working in regulated environments (financial services, security-sensitive systems)

Technology

We’re pragmatic and evolving fast. Today, you’re likely to work with:

  • Python
  • LLMs & AI tooling (we're outcome-driven and vendor-agnostic)
  • PostgreSQL, BigQuery
  • TypeScript, React
  • pytest, Jest, CI pipelines
  • AWS, GCP
  • Docker, Terraform, GitHub Actions

How We Expect You to Work

  • Enable, don’t block – you build platforms and tools that make other teams faster and more confident
  • Outcome-driven – success is measured through adoption, time-to-market, and quality improvements
  • Iterative by default – start small, validate value, then scale
  • Hands-on ownership – you build, ship, and operate what you create
  • Collaborative – you work across squads, disciplines, and seniority levels
  • Pragmatic about risk – especially when introducing AI into production and regulated systems

How We Expect You to Behave

  • Curious, open, and generous with knowledge
  • Strong opinions, held loosely
  • Comfortable saying “this didn’t work, here’s what we learned”
  • No ego, impact matters more than ownership
  • Actively contribute to a psychologically safe, inclusive engineering environment

What Makes Working Here Better

This is a truly hybrid role, offering engineers the flexibility to work from home while also providing opportunities to collaborate in person with the team when it adds value. There’s no fixed requirement for days in the office; instead, we focus on creating space for engineers to engage meaningfully, whether that’s in-person for whiteboarding sessions or remote for deep focus work. Work-life balance - 25 days holiday (plus bank holidays) each year, and enhanced family leave allowances. Competitive salary & equity - We want people to have a serious stake in the business. Good kit - Your choice of the best laptop, running macOS. Team socials - The opportunity to get to know each other outside of work. Company socials - A chance to catch up and meet new colleagues weekly over informal office breakfasts. Lunches and dinners on OakNorth - or at our free barista bar every day. Commuter support - We offer the cycle to work and EV scheme.

About Us

We’re OakNorth Bank and we embolden entrepreneurs to realise their ambitions, understand their markets, and apply data intelligence to everyday decisions to scale successfully at pace. Banking should be barrier-free. It’s a belief at our very core, inspired by our entrepreneurial spirit, driven by the unmet financial needs of millions, and delivered by our data-driven tools. And for those who love helping businesses thrive? Our savings accounts help diversify the high street and create new jobs, all while earning savers some of the highest interest on the market. But we go beyond finance, to empower our people, encourage professional growth and create an environment where everyone can thrive. We strive to create an inclusive and diverse workplace where people can be themselves and succeed.

Our story OakNorth Bank was built on the foundations of frustrations with old-school banking. In 2005, when our founders tried to get capital for their data analytics company, the computer said ‘no’. Unfortunately, all major banks in the UK were using the same computer – and it was broken. Why was it so difficult for a profitable business with impressive cashflow, retained clients, and clear commercial success to get a loan? The industry was backward-looking and too focused on historic financials, rather than future potential. So, what if there was a bank, founded by entrepreneurs, for entrepreneurs? One that offered a dramatically better borrowing experience for businesses? No more what ifs, OakNorth Bank exists.

Senior Fullstack Engineer - AI Enablement employer: OakNorth

At OakNorth, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Fullstack Engineer in AI Enablement, you'll enjoy the flexibility of a hybrid work environment, competitive salary and equity options, and ample opportunities for professional growth while collaborating with passionate teams dedicated to innovation in banking. With a strong focus on work-life balance and a commitment to employee well-being, OakNorth is an exceptional employer for those looking to make a meaningful impact in the financial sector.
OakNorth

Contact Detail:

OakNorth Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Fullstack Engineer - AI Enablement

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and full-stack work. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios to boost your confidence.

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 OakNorth.

We think you need these skills to ace Senior Fullstack Engineer - AI Enablement

AI Tools Usage
Fullstack Development
Backend Engineering
Production Systems Design
Rapid Experimentation
Problem-Solving
AI-Native Engineering
Technical Specification Review
Code Generation and Refactoring
Documentation Generation
Test Generation and Quality Validation
Observability and Log Analysis
Collaboration Across Teams
Familiarity with LLM APIs
CI/CD Pipeline Integration

Some tips for your application 🫡

Show Your AI Passion: When you're writing your application, make sure to highlight your experience with AI tools. We want to see how you've integrated AI into your daily workflow and how it has helped you in your engineering tasks.

Be Specific About Your Experience: Don’t just list your skills; give us examples of how you've used them in real projects. Talk about the systems you've built or contributed to, especially if they involved AI. This helps us understand your hands-on experience.

Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep paragraphs short. This makes it easier for us to see your strengths at a glance.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us that you’re genuinely interested in joining our team!

How to prepare for a job interview at OakNorth

Know Your AI Tools

Make sure you’re well-versed in the AI tools and practices that are relevant to the role. Be ready to discuss how you've used these tools in your daily workflow, and share specific examples of how they’ve improved your coding, debugging, or documentation processes.

Demonstrate Your Engineering Mindset

Prepare to showcase your strong engineering fundamentals. Think about past projects where you’ve designed and built systems that other engineers have relied on. Be ready to explain your thought process and how you measure success through outcomes and adoption.

Emphasise Collaboration

Since this role involves partnering with product and engineering teams, highlight your collaborative experiences. Share stories where you’ve worked across different squads or disciplines, and how you’ve helped others adopt AI practices effectively.

Be Ready for Rapid Experimentation

This position values rapid experimentation, so come prepared to discuss how you approach uncertainty. Talk about times when you’ve quickly prototyped ideas, learned from failures, and iterated on solutions. Show that you’re comfortable moving from concept to production swiftly.

Senior Fullstack Engineer - AI Enablement
OakNorth

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