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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 Senior 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: think smart interfaces, agent-driven commerce, and automation that feels effortless.
- Collaborate with product and engineering teams to weave AI into payment flows and customer journeys.
- Act as second in command to the Head of AI, taking greater technical ownership across the team's work.
- Mentor junior engineers, supporting their technical growth and development.
- Experiment with cutting-edge tech (LLMs, real-time APIs, multimodal AI) and turn prototypes into production.
- 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.
- Push boundaries, prototype fast, learn fast, and help define what’s next.
- Shape the future of AI at Hyperlayer—your ideas will influence the roadmap.
You should apply if you have:
- 5-6 years’ experience building and deploying AI/ML deployment models with the controls expected in regulated industries.
- Solid Python and SQL skills and experience with LLM frameworks like LangChain.
- Experience in prompt and context engineering for LLMs.
- Comfort with cloud platforms (AWS mainly, GCP is a plus) and container tech (Docker, Kubernetes).
- Experience with APIs, real-time systems, or streaming architectures.
- Understanding of ML concepts and hands-on work with LLMs or generative AI.
- A data-driven mindset - love digging into numbers and turning insights into action.
- A creative streak and the ability to imagine what doesn’t exist yet.
- Strong communication and collaboration skills.
- Curiosity and a love for experimentation and research, always exploring what’s next in AI.
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Bonus Points For
- Experience with compiled languages, particularly Go
- Knowledge of evaluation frameworks and fine-tuning techniques.
- Familiarity with agent and agentic commerce protocols (Agent-to-Agent, Model Context Protocol, Agent-to-Payments).
- Multimodal interactions over WebRTC (LiveKit or similar).
- Familiarity with frameworks like OpenAI’s GPT-4V or Google’s Gemini Live multimodal capabilities.
- Experience with vector databases (e.g., Pinecone, Qdrant) for RAG pipelines.
- Understanding of security and privacy in AI workflows (encryption, anonymization, compliance).
- Awareness of bias detection 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.
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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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