Software Engineer - AI Products

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Until now, insurance has been making billion-dollar decisions using outdated tools.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 Git Hub 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.

At hx, AI is not an add‑on, it is central to our mission. We are redefining how the insurance industry builds software and makes decisions, powered by generative AI. Our team combines state‑of‑the‑art LLM technology with deep insurance domain expertise to solve problems no one else is tackling.

We’re currently focused on two flagship products. The first is a powerful ingestion engine that transforms unstructured insurance documents into structured insights. The second is our crown jewel: a domain‑specific AI peer‑programmer embedded inside a custom IDE, designed to reshape how actuaries and underwriters code, model risk, and make billion‑dollar decisions.

This is applied AI with teeth. Our team moves fast, experiments often, and ships real value into the hands of customers. As a Staff Engineer, you’ll join a small, high‑ownership group with the autonomy to drive innovation and directly influence how AI transforms an entire industry.

• Architect and build AI‑driven products from scratch, tackling complex problems with no established playbook.

• Lead the design and implementation of novel features such as domain‑specific coding copilots within hx’s proprietary development environment.

• Partner with cross‑functional peers to shape architectural decisions, ensuring scalability, reliability, and long‑term sustainability of our AI systems.

• Experiment, prototype, and ship rapidly, seeing innovations move quickly from idea to production in live customer environments.

• Contribute to the evolution of hx’s AI technical vision, embedding best practices and advancing engineering excellence across the team.

• Act as a multiplier: mentoring engineers, raising standards, and building a culture of curiosity, speed, and quality.

• Built and shipped production‑grade systems in Python, with strong depth in distributed, cloud‑based architectures (other languages, especially Rust, Kotlin and Typescript, are also welcome).

• Solved real‑world data challenges, designing reliable, scalable systems that operate under ambiguity.

• Taken end‑to‑end ownership of technical initiatives: identifying opportunities, designing solutions, and delivering impact.

• Communicated complex technical ideas clearly to a range of stakeholders, from engineers to product leaders.

• Influenced engineering direction and culture, scaling local wins into broader practices.

• Delivered AI or ML‑powered products from prototype to scale, balancing experimentation with production rigour -…