AI Developer

Company

We’re recruiting for an established, high-growth consumer technology business in the North East that has developed a successful app-based product used by a substantial customer base.

Technology sits at the heart of the organisation, with established iOS, Android and backend engineering teams alongside a growing data capability. The business is investing further in its Newcastle technology hub and wants to build more of its critical technical capability in-house.

This is an environment where engineers can have genuine influence. You won’t be joining a huge AI department with narrowly defined responsibilities. You’ll have the opportunity to shape how AI becomes part of a live digital product and work alongside an established engineering function.

The role will operate on a hybrid basis, typically 2–3 days per week in the office, providing the opportunity to work closely with the wider engineering and product teams while retaining flexibility.

Role

This is first and foremost a development role.

We’re looking for an experienced AI Developer / Engineer who wants to design, build and ship production AI functionality, rather than someone whose background is predominantly AI strategy, policy or governance.

One of the first major challenges will be taking technical ownership of an AI-enabled meal-planning capability within an existing consumer application. The ambition is to create an intelligent user experience where customers can provide information such as available ingredients and nutritional requirements and receive useful, personalised meal suggestions without needing to leave the application.

You’ll determine how best to combine LLMs, application logic, rules-based systems and existing product data to create something that is accurate, scalable and commercially viable. A key challenge will be deciding when an LLM genuinely adds value and when deterministic logic or existing data provides a better answer.

You’ll be responsible for areas including:

Designing and developing production-grade LLM-powered features and applications

Building AI agents, conversational experiences and intelligent workflows

Working with technologies such as AWS Bedrock, agent frameworks and MCP

Integrating LLM capabilities into existing applications, APIs and datasets

Designing hybrid solutions combining A...