Software Engineer

Software Engineer IV – Applied AI Product Engineer
Leading technology company | UK remote | 6-month contract
December 2026–June 2027 | 9:00am–6:00pm
£56 per hour PAYE + 15% company bonus
A leading technology company is seeking an experienced engineer to build internal products and integrations that help content, product and research teams develop, evaluate and launch AI-powered experiences.
This is a hands-on product engineering role. You’ll work across the full lifecycle: understanding user needs, shaping a technical approach, building and launching solutions, and improving them based on feedback. The work includes AI evaluation tools, data and analytics workflows, and applied AI prototypes. A key focus is turning manual processes and recurring technical support into reliable self-service tools.
What you’ll do

• Build internal products, integrations and data workflows from end to end.
• Turn ambiguous user needs into clear, practical technical solutions.
• Develop prototypes into reliable, reusable tools.
• Create evaluation and feedback loops for AI-powered workflows.
• Apply production engineering practices, including testing, observability and safe failure handling.
• Use AI-assisted development tools thoughtfully, reviewing and validating generated work.
• Measure adoption, quality, time saved and reductions in manual support.
• Document solutions and create onboarding paths that help teams use and maintain them.
• Manage several technical workstreams and make clear decisions about priorities and trade-offs.

What you’ll bring

• 6+ years’ experience building production software in software engineering, product engineering, ML engineering or a hands-on technical solutions role.
• Experience owning a technical product from an ambiguous problem through design, implementation, launch and iteration.
• Proficiency in a language such as Python, JavaScript/TypeScript, Java, PHP/Hack or C++.
• Experience building or integrating APIs, backend services, data workflows or full-stack products.
• Strong debugging skills and experience with automated testing, observability and reliable error handling.
• The ability to use data and metrics to assess outcomes and explain technical trade-offs to different audiences.
• A bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent practical experience.

Experience with AI/ML products, evaluation systems, agentic workflows, internal tools or developer platforms would be an advantage. Experience in social media is not required.
This role suits an engineer who enjoys solving evolving problems and building tools that help other teams work more effectively. It focuses on hands-on product engineering rather than content production, labelling, prompt writing, project coordination or AI research.
Interview process

• Technical project deep dive with the hiring manager – 45 minutes
• Conversation about operating in a large technology organisation with a colleague – 30 minutes