Senior Product Engineer (AI)

Location: Huddersfield, West Yorkshire, GB; hybrid. Flexible location is available, with more face-to-face time required during onboarding and planned team meetings afterward.

Salary: £62,000–£72,000 per annum, dependent on experience.

Company

hirify.global develops a proprietary dashboard product, data platform, integrations, and AI-enabled capabilities for law firm leaders, finance teams, and fee earners.

What you will do

• Own technical solutions from problem definition and discovery through development, testing, and deployment.
• Work with Product Management and stakeholders to clarify requirements, constraints, users, and success criteria.
• Shape the smallest useful solution, break features into increments, identify dependencies, and coordinate delivery.
• Design, implement, test, and maintain reliable software across the dashboard, data platform, and integrations.
• Use AI development tools to accelerate delivery while independently validating all generated output.
• Review work, mentor colleagues, share knowledge, and improve team capability and development practices.

Requirements

• Several years of commercial software development experience, ideally including C#, JavaScript, and HTML.
• Practical day-to-day experience using AI development tools, with concrete examples of how they are applied.
• Ability to assess AI-generated output, shape supportable solutions for an existing codebase, identify risks, and explain implementation decisions.
• Track record of owning problems end to end, from discovery through delivery.
• Confidence working with incomplete requirements, challenging assumptions, asking effective questions, and defining a minimum viable product with a Product Manager.
• Genuine interest in end users and the value they receive from the product.
• Ability to adopt new technologies and adapt as the technical direction changes.
• Clear, proactive communication, including raising blockers early and working independently.

Nice to have

• Experience in a growth-stage B2B SaaS or technology-platform business; legal-sector experience is not required.
• Experience with data warehouses or data-platform tooling.
• Exposure to AI-enabled features such as forecasting or chatbots.
• Experience reviewing code and mentoring developers.
• Active interest in AI developments and modern development practices.

Culture & Benefits

• Small, distributed engineering team with meaningful ownership and influence over product and team practices.
• Flexible working with planned team meetings and quarterly company gatherings.
• Annual profit share and a loyalty holiday bonus.
• Private healthcare, rewards, and a 5% employer pension contribution.
• AI is used for most code production, with accountability for code quality, security, reliability, maintainability, and testing.