Senior AI Engineer

🕒 April 7

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hyperexponential

11 - 50 employees

💰 $18M Series A on 2021-06

We reimagine technology to create ground-breaking software for insurers.We combine first-hand actuarial experience and first-class engineering expertise with a passion for technology, to develop solutions that enable quicker, smarter decision making.Teams are more agile, collaborate more deeply, and work more productively. They update their models more regularly, and have access to a broader array of tools than ever before.Our progressive approach, effective integration and continued support ensure our software delivers from day one and continues to evolve to meet the needs of your future ambitions. We work closely with our clients so they can embrace the digital revolution, enhance productivity and transform the performance of their organisation.

📋 Description

• Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity. • Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration. • Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional code ownership boundaries. • Build and evolve AI-native development workflows, integrating best-in-class tooling across coding, testing, CI/CD, and deployment environments. • Translate successful strike team practices into documented patterns, reusable tooling, and “paved road” workflows that scale across the wider engineering organisation. • Partner with engineers and technical leaders to share knowledge, mentor teams, and accelerate adoption of AI-native engineering practices across hx.

🎯 Requirements

• Built or significantly evolved AI-assisted engineering workflows that measurably accelerated delivery speed while maintaining production reliability. • Delivered complex product features or systems across unfamiliar codebases by rapidly understanding architecture, dependencies, and operational constraints. • Architected scalable cloud infrastructure and CI/CD systems that enabled fast, reliable software delivery in production environments. • Implemented automated testing, security, or quality systems that reduced operational risk while increasing development velocity. • Evaluated and integrated modern AI development tooling, selecting pragmatic solutions that improved developer productivity and software quality. • Led or influenced engineering teams to adopt new technical practices, raising standards through mentorship, documentation, and hands-on collaboration.

🏖️ 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 • Top-spec equipment (laptop, screens, adjustable desks, etc.). • Regular remote and in-person hackathons, lunch and learns, socials, and game nights. • Quarterly 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.

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