This isn't just another AI job.
This is a once in a career opportunity for you to help build an AI-enabled IDE, alongside the likes of Cursor, Windsurf and Github Copilot.
Hi 👋🏻 I'm Adam Ben-David, and I lead the AI team here at hyperexponential.
I’ve spent over 10 years building machine learning products across startups, gaming, and ad tech. At hx, we’re applying AI in a way that actually changes how an entire industry works. Our models are already in the hands of real users, helping actuaries and underwriters make faster, smarter decisions every day.
I was lucky enough to join my first startup early (employee #32), it went public at $16B. I came to hx because I see the same kind of potential here. Big, meaningful problems, crazy smart teammates, real impact.
We’re building the world’s first domain-specific AI peer-programmer for insurance—think GitHub Copilot, but trained in actuarial science and regulation. You’ll help us reinvent how insurers code, model risk, and make billion-dollar decisions. Like AWS changed how devs develop and deploy software, we’re doing the same for insurance - with you building the AI that makes it possible.
AI at hyperexponential
At hx, we’re not just riding the AI wave - we're shaping it. Our mission is bold: to redefine how the insurance industry builds software and makes decisions, powered by generative AI. Our team sits at the bleeding edge of applied machine learning, LLMs technologies, blending deep domain expertise with state-of-the-art models to solve problems no one else is tackling.
Right now, we're focused on two groundbreaking products, and that’s just the start! One is a powerful data ingestion engine that uses advanced LLMs to turn unstructured insurance documents into actionable insights. The other is our crown jewel: a domain-specific AI peer-programmer that lives inside our custom IDE - think Copilot, but with a PhD in actuarial science. Both are live, evolving fast, and already changing how actuaries work day-to-day.
What sets us apart is a culture of invention: small team, big ambition, zero bureaucracy. This is applied AI with teeth. We move fast, experiment often, and ship real value. Our stack spans OpenAI, Hugging Face, Python, React, AWS - but tools are just the start.
Your Unique Mission
As an Engineer in our AI team, you'll engineer AI-driven products from scratch, directly addressing complex problems with no established playbook, but with great tea,. You’ll design and implement innovative solutions such as specialised coding copilots within our proprietary development environment.
Working within a startup-like team at the heart of hx, you’ll have significant autonomy to lead groundbreaking experiments and quickly see your innovations deployed to solve real-world insurance challenges.
What Your First 3 Months Will Look Like
First, you'll dive deep into our AI systems, architecture, and product suite and get to know the unique problems we’re solving through hands-on onboarding. By the end of the month, you'll have shipped your first meaningful contribution.
During second month you’ll take ownership of a scoped feature or improvement within one of our core products in hx AI - you’ll be trusted and encouraged to push changes into production and see real-world impact in partnership with your team members.
By the end of your third month, you’ll be a fully embedded member of the team, helping shape our roadmap, contributing to architectural decisions, and collaborating across hx to evolve our AI capabilities as we scale. In no time you’ll be solving problems no one’s cracked yet.
Why You’re a Perfect Fit
You thrive on impact. You’re the kind of person who:
Loves shipping real-world products that millions rely on
Gets energised by messy, real-world data and building robust AI solutions from it
Owns projects end-to-end: prototype to production, experimentation to scale
Sees the intersection of cutting-edge AI and high-stakes business problems as your playground
Is proactive and has self-directed approach to tackling ambiguous problems, consistently delivering high-impact results.
Your toolkit includes:
Solid Python programming skills, and comfort working with popular ML libraries like PyTorch or Hugging Face (even if not deeply experienced yet).
Some experience developing software through the full development lifecycle.
Exposure to building and experimenting with machine learning models - with personal, academic, or internship projects.
Exposure to cloud environments and interest in learning MLOps practices (e.g., model versioning, pipelines, monitoring). Prior hands-on experience is helpful but not required.
A self-starter mindset - you spot high-leverage opportunities and run with them
Proactive attitude and curiosity – you're excited to learn, take initiative, and contribute wherever you can add value.
Clear communicator – you can explain your thinking and collaborate effectively with others, even when topics are technical.
Bonus points if you bring:
Exposure to integrating machine learning models into applications or systems with familiarity with deploying models
Hands-on experience with LLMs in production, especially for NLP
Familiarity with regulated domains (insurance, fintech, etc.)
A footprint in the community: open source, writing, talks, or contributions
Why Other Engineers Joined Us
Exceptional Growth: Profitable and rapidly scaling (2× ARR YoY). Backed by $73M Series B funding to support bold innovation
Top-Tier Team & Culture: Collaborative, high-performing culture with 80+ engineers across London and Warsaw. Driven by ownership, curiosity, and kindness
Meaningful Impact: Adopting cutting-edge solutions. Focus on solving real problems that revolutionise the field. Being challenged and testing ideas quickly.
Our Values
Own it – Take initiative and stay accountable
Push boundaries – Stay ambitious, adaptable, and bold
Keep growing – Learn through building and data
Do right – Act with integrity, kindness, and responsibility
Think deeply – Center customers in every decision
Interview Process
Initial chat with our Talent team to kick things off - even if you are 1% curious, we are happy to give you a better taste of this role!
Manager Interview
Technical Skills Interview
Values Interview
We offer!
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.
