AI Engineer
Company: Hyperlayer
Role summary
AI Engineer is a role at Hyperlayer in London, England, United Kingdom (on-site). Posted 2026-08-27. Experience level: 2-5.
- Job title
- AI Engineer
- Company
- Hyperlayer
- Location
- London, England, United Kingdom
- Work arrangement
- on-site
- Category
- AI & Machine Learning
- Experience level
- 2-5
- Date posted
- 2026-08-27
Hyperlayer is looking for a talented engineer to build out their core AI infrastructure, offering a great chance to work on the bleeding edge of machine learning in a fast-paced startup environment. You’ll have significant autonomy over technical architecture and the opportunity to make a real impact on how their products function.
Job description
We’re Growing Our AI Team 🚀
Hyperlayer is on a mission to reinvent how people and businesses move money, and we need a mid-level 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 dive into projects like real-time conversational AI, agentic commerce, and next-gen personalisation. If you love solving hard problems and turning wild ideas into reality, you’ll fit right in.
What You’ll Do
Build AI-powered features for our platform, including intelligent interfaces, agentic workflows and effortless automation
Partner with product, engineering and business teams to identify high-value AI opportunities and grow adoption through shared practices and reusable patterns
Help cross-functional teams organise structured and unstructured knowledge bases through GenAI techniques such as Retrieval Augmented Generation (RAG), enabling quick and accurate search with robust access controls
Connect AI applications and agents securely to enterprise data and tools using APIs, tool calling and emerging interoperability standards
Evaluate open-source and managed AI technologies, balancing developer experience, model quality, security, reliability, data residency and cost
Turn promising experiments into scalable, reliable and secure production capabilities, and help shape Hyperlayer’s AI roadmap
You should apply if you have:
2-3 years’ experience building and deploying AI/ML or LLM applications, ideally with the controls expected in regulated industries
Strong Python and SQL skills and experience with LLM frameworks such as LangChain
Hands-on experience with LLMs and generative AI, including prompt and context engineering
Experience building knowledge retrieval or search solutions using RAG, embeddings or vector databases
Experience connecting AI applications to enterprise systems and data through APIs, tool calling or similar integration patterns
Comfort with cloud platforms (AWS mainly, GCP is a plus) and container technology (Docker, Kubernetes)
Ability to evaluate AI tools and models across quality, latency, reliability, security and cost
Understanding of access controls, data privacy and secure AI workflows
Strong communication, facilitation and cross-functional collaboration skills
A curious, data-driven approach to experimentation, learning and turning prototypes into production
Bonus Points For
Experience building internal technical communities or supporting organisation-wide AI adoption
Familiarity with agent and agentic protocols such as Agent-to-Agent, Model Context Protocol and Agent-to-Payments
Experience integrating AI with enterprise data platforms, data warehouses or file repositories
Hands-on experience with vector databases and evaluation approaches for RAG pipelines
Familiarity with open-source coding agents, developer tools or AI orchestration frameworks
Experience deploying or consuming LLM endpoints in cloud environments with data residency requirements
Knowledge of LLM evaluation, observability, fine-tuning or AI cost optimisation
Understanding of security, privacy, bias and safety considerations in AI systems
(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 .