Senior Product Engineer (AI)

Location: London, UK; hybrid. Work from home is available on Mondays and Fridays, with office attendance on the other days.

Company

hirify.global is a profitable fintech company founded in 2014 that develops consumer finance products including loans, credit cards, and car finance for the UK and US markets.

What you will do

• Build and own internal web applications and automations that help back-office agents work efficiently.
• Improve tooling for complaints handling and fraud and financial crime investigations.
• Build quality-assurance tools that use AI to review calls and direct coaching to relevant agents.
• Work directly with operations agents, managers, Product, Data Science, and Analytics.
• Use coding agents and AI tools while taking responsibility for shipped solutions.
• Help shape engineering ways of working and mentor other engineers.

Requirements

• Senior-level product engineering experience with a strong record of delivering practical, full-stack solutions using modern technology.
• Comfort with ambiguity and a focus on business outcomes, including identifying underlying problems beyond stated requirements.
• Experience shaping team ways of working and mentoring other engineers.
• Enthusiasm for AI-assisted development; a record of using AI to improve team delivery is preferred.
• Current technologies include Python, FastAPI, React, Next.js, Tailwind, AWS, Docker, Kubernetes, Argo, Terraform, SQL, Snowflake, Domain-Driven Design, message-driven systems, and event sourcing. Different technology stacks are also considered.

Culture & Benefits

• Hybrid work with optional home working every Monday and Friday and in-office collaboration on Tuesday through Thursday.
• Best-in-class compensation including equity.
• Private health insurance and wellbeing support.
• Fresh, healthy lunches prepared by in-house chefs on office days Tuesday through Thursday.
• Inclusive and open workspace with equal-opportunity employment.

Hiring process

• 30-minute introductory call with Talent.
• Take-home coding exercise limited to 2–3 hours, using AI tools as normally used; the task covers an internal-tool problem.
• 60-minute technical interview to review the exercise and extend it with changed requirements, followed by a 60-minute culture and behavioural interview.