Contract Duration: 6-Month Contract Remuneration: £54.81 Hourly Rate
About the Role
We are seeking an experienced Applied AI Product Engineer to design, build, and scale AI-powered internal products, integrations, and automation solutions. This is a hands-on engineering role focused on solving complex business challenges through applied AI, data workflows, and product engineering.
You will work across the full product lifecycle, partnering with both technical and non-technical stakeholders to transform ambiguous requirements into scalable, production-ready solutions. A key aspect of the role will be developing self-service tools that replace manual processes and improve operational efficiency.
Key Responsibilities
- Design, build, test, deploy, and maintain internal products and integrations.
- Develop data workflows and automation solutions that improve operational efficiency.
- Create evaluation frameworks and feedback loops for AI-powered workflows.
- Transform prototypes and one-off solutions into scalable, reusable capabilities.
- Implement production engineering best practices including testing, observability, and reliability monitoring.
- Measure product adoption, quality improvements, and operational impact.
- Produce technical documentation and onboarding resources.
- Manage multiple technical workstreams and make informed trade-off decisions based on business impact and complexity.
- Collaborate closely with product, engineering, and operational stakeholders.
Required Skills & Experience
- Experience in Software Engineering, Product Engineering, ML Engineering, or a similar hands-on technical role.
- Proven experience delivering end-to-end technical products from concept through launch and iteration.
- Strong programming skills in one or more languages such as:
- Python
- Java
- C++
- PHP (or similar)
- Experience building APIs, backend services, data pipelines, or full-stack applications.
- Strong understanding of testing, observability, debugging, and production support.
- Ability to communicate technical concepts clearly to both technical and non-technical audiences.
- Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
Preferred Experience
- Building AI/ML-powered products or intelligent automation solutions.
- Experience with AI evaluation systems, agentic workflows, or LLM-enabled applications.
- Developing internal tools, developer platforms, or self-service capabilities.
- Experience using AI-assisted development tools while maintaining strong engineering quality standards.
- Understanding of responsible AI principles and quality assurance practices.
Ideal Candidate
You are a product-minded engineer who enjoys tackling ambiguous challenges and turning them into scalable solutions. You are comfortable owning projects end-to-end, working cross-functionally, and leveraging modern AI technologies to improve productivity and user experiences.
What Success Looks Like
- Delivery of high-quality technical solutions aligned to business objectives.
- Measurable reduction in manual processes through automation.
- Strong product adoption and user satisfaction.
- Well-documented, maintainable, and scalable solutions.
- Effective collaboration with stakeholders across multiple teams.