AI Engineer - Platform/MLOps
About hyperexponential (hx)
At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.
Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.
Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx.
What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.
What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure.
If that sounds like you, join us in building what comes next.
About the hxAI team
At hx, AI is central to how we build software and make decisions across the company. From large-scale document intelligence to a domain-specific AI peer-programmer used by actuaries and underwriters, hx is redefining how the insurance industry uses generative AI in production.
The AI Platform team provides the platform that makes all of this possible. We design, build, and operate the shared systems that allow teams to train, deploy, evaluate, and monitor AI safely at scale — including model serving, data pipelines, observability, deployment automation, and compute orchestration.
Working closely with product and research teams, we turn fast-moving experimentation into reliable, cost-efficient, and developer-friendly production systems. Our success is measured in faster releases, stronger model performance in the real world, and AI products that customers can trust with critical decisions.
What you’ll be doing
Designing and operating scalable AI infrastructure for LLM inference, prompt management, and evaluation pipelines, supporting billions in premium flow.
Building self-service tools, SDKs, and APIs that empower product teams to move from prototype to production 30% faster.
Instrumenting production AI/ML workloads with standardised logging, tracing, and evaluation metrics, increasing observability coverage to 100% of deployed models.
Implementing intelligent routing, caching, and provider optimisation via the LLM gateway, reducing AI compute costs by up to 25%.
Driving adoption of shared platform services (LLM gateway, evaluation frameworks, monitoring) to replace bespoke solutions, increasing platform adoption across new AI features.
Championing developer experience by delivering comprehensive documentation and responsive support, resulting in higher internal customer satisfaction.
What you’ll need to have done
Built and deployed production AI infrastructure that scaled to support enterprise-grade reliability and observability.
Delivered self-service tools or APIs that enabled multiple product teams to accelerate their AI/ML development cycles.
Implemented evaluation frameworks, A/B testing infrastructure, or monitoring solutions that measured and improved model performance, latency, cost, and quality in production.
Led initiatives to reduce AI compute costs through optimisation strategies such as intelligent routing or caching.
Successfully migrated teams from bespoke AI solutions to shared platform services, driving measurable adoption.
Prioritised and improved developer experience through documentation, support, or workflow enhancements.
You’re unlikely to thrive here if
You prefer working in silos rather than collaborating closely with product and engineering teams.
You are uncomfortable with rapid change or ambiguity in technical requirements.
You are not motivated to take ownership and drive measurable impact beyond your immediate tasks.
If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.
Compensation
At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally.
Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make.
Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your Talent Partner will be able to share more details about this.
Benefits
£5,000 training and conference budget for individual and group development.
25 days of holiday plus 8 bank holidays (33 days total).
Company pension scheme via Penfold.
Mental health support and therapy via Spectrum.life.
Individual wellbeing allowance via Juno.
Private healthcare insurance through AXA.
Income protection and Life Insurance.
Cycle to Work Scheme.
Additional perks
Top-spec equipment (laptop, screens, adjustable desks, etc.).
Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
Exceptional opportunities for personal development and growth as we build something remarkable together.
Interview process
Initial chat with our Talent team (30 minutes).
Manager Interview (60 minutes).
Technical Assessment (e.g., code review, system design) (120 minutes).
Values Interview with Senior Tech Leadership (60 minutes).
We offer!
Our commitment to Diversity
hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.
Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure.
If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team.
Next steps
If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.
For more information about applying and to view other opportunities, you can visit our careers page.
Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.