Hyperlayer
Principal Engineer - Agentic Coding
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We’re Growing Our AI Team 🚀
Hyperlayer is on a mission to reinvent how people and businesses move money, and we need a Principal AI Engineer with big ideas to help us make it happen. This isn’t just about writing code; it’s about building the AI infrastructure for the future of payments.
You’ll take the lead on how our engineers actually build software — treating the tools they use to ship code as products in their own right, with a real user experience worth measuring and improving. If you’re excited about reshaping how engineering teams work day to day, you’ll fit right in.
What you'll do
- Define and evolve how our engineering team builds software with AI coding agents — from initial spec through to review, deployment, and monitoring
- Horizon-scan and benchmark emerging open-source coding harnesses and open-weight models, and lead their introduction with enterprise-grade controls — security review, access management, and audit trails
- Extend AI-assisted development into QA and DevOps: automated test generation, code review, CI/CD, deployment, and production monitoring
- Build the feedback loop for our coding agents - capturing engineer satisfaction and outcomes per session, then using that data to improve the tools, prompts, and rules we ship
- Own the steering rules, prompts, and guardrails that shape how coding agents behave across the engineering team, keeping humans in the loop on the decisions that matter
- Evaluate and select AI coding tools and frameworks, and build the internal benchmarks that back those calls
- Participate in system level design and architecture decisions with your peers
- Make sure our AI systems scale, stay reliable, remain secure, and meet financial regulation objectives
- Mentor engineers as they adapt to a new way of building software, sharing what’s working and what isn’t
- Shape the future of engineering at Hyperlayer - your approach to how we build will influence the roadmap.
Qualifications
- 8+ years’ experience in software engineering, including recent hands-on work adopting AI coding agents into a real engineering workflow
- Experience designing structured, spec-driven or workflow-driven processes for AI-assisted development — requirements, planning, implementation, and review
- A track record of building internal tooling, evaluation frameworks, or benchmarks to measure and improve engineering productivity or developer experience
- Experience benchmarking open-source tools or open-weight models against proprietary alternatives, and assessing them for safe enterprise adoption
- Comfort with cloud platforms (AWS mainly, GCP is a plus) and container tech (Docker, Kubernetes)
- Experience extending AI-assisted workflows into QA and DevOps: automated testing, code review, CI/CD, deployment, and monitoring
- Solid Python skills, and comfort defining the rules, prompts, and guardrails that both agents and engineers work within
- A data-driven mindset - comfortable instrumenting a workflow, defining metrics, and using data to improve it, not just building the thing itself
- Understanding of the security, compliance, and audit implications of AI-assisted engineering in a regulated environment
- Strong communication and collaboration skills
- Curiosity and a love for experimentation, always exploring what’s next in how engineering teams build software with AI
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Bonus Points For
- Contributions to or hands-on use of spec-driven or multi-phase development frameworks for AI coding agents (e.g. specification-first pipelines, structured agent workflows)
- Knowledge of evaluation frameworks and fine-tuning techniques.
- Experience building or operating an analytics loop for a developer tool — session-level feedback, usage telemetry, and iteration based on it
- Familiarity with agent-to-agent or tool-integration protocols (Model Context Protocol and similar)
- Experience running multiple coding agents or IDEs (Claude Code, Cursor, GitHub Copilot, Kiro, Amazon Q Developer, or similar) and defining consistent rules across them
- Experience running open-weight models in production or self-hosted environments, and standing up the governance — access controls, audit, data handling — needed to bring third-party AI tooling into a regulated enterprise
- Background applying AI agents to security scanning, dependency checks, or compliance gates within CI/CD
- Understanding of security and privacy in AI workflows (encryption, anonymization, compliance).
- Awareness of bias, safety, and human-in-the-loop considerations when deploying autonomous or semi-autonomous coding agents
Get help with your application
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(You don’t need every skill. If you’re passionate about building the future with AI, we want to hear from you.)
How to apply
Please click on the ‘Apply’ button, you will be asked to provide an updated CV and answer some questions. For further information about this vacancy, you can contact us at: people@hyperlayer.com.
We will not be offering UK work visa sponsorship for these roles. Candidates will need an existing non-sponsored right to work in the UK.
Working at Hyperlayer
At Hyperlayer we are proud of our in-office culture. It makes a real difference to the working atmosphere and maximises collaboration in and across teams. This is critical to how we work and learn. Also, we think it makes for a great workplace!
We value our team and are proud to offer some great benefits:
- A performance-based employee bonus scheme.
- 25 days annual leave plus bank holidays, a day off on your birthday, and an additional day per year of tenure to a maximum of 30.
- Critical illness and life insurance cover.
- AXA PPP Health Insurance, including gym offers.
- Cycle-to-work scheme.
- Referral bonus scheme.
- Workplace Nursery Scheme
Equity, diversity, and inclusion
Hyperlayer’s mission is to make a positive impact on people’s lives, making it easier for everyone to manage their money.
Hyperlayer’s commitment to equity, diversity, and inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background.
We are constantly learning and striving to do better, and we expect all staff to actively take part in this process.
Data Privacy
As part of our recruitment process, Hyperlayer Limited collects and processes personal data relating to job applicants.
We are committed to being transparent about how we collect and use this data and to meeting our data protection obligations. To read more click here.
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