AI Product Engineer - Adaptiq

We are looking for an AI Product Engineer who can investigate a customer need, define a practical solution and build a functional prototype. You will combine customer conversations, product judgment and hands-on experimentation. Your prototypes should demonstrate both the user experience and the functionality needed to evaluate an idea. You will use AI-assisted development tools to move from initial requirements to something stakeholders can try and discuss. Your responsibility covers discovery, prototyping and agreement on the proposed solution. Engineering colleagues take responsibility for production implementation. The position includes periodic office attendance; location and arrangements will be discussed during screening.

Responsibilities

Clarify the decisions a prototype needs to support and define a manageable scope for testing.

Gather input from customers and colleagues to understand existing workflows, unmet needs and practical constraints.

Create functional prototypes, connecting interface behaviour with the logic and data needed to demonstrate a solution.

Evaluate whether the proposed experience addresses the original problem, including the accuracy and usefulness of its outputs.

Present your work, incorporate feedback and resolve open questions with stakeholders.

Prepare an agreed solution for engineering handoff, explaining intended behaviour, assumptions and outstanding limitations.

Experience

Substantial experience in product management or a customer-facing technical role involving product decisions and hands-on solution development.

A record of helping bring new software products to real users, with clear ownership of your contribution.

Ability to independently build working prototypes using AI-assisted development tools.

Experience translating customer conversations into clear requirements, priorities and user workflows.

Practical understanding of vulnerability assessment and remediation, including how technical findings inform corrective action.

Experience delivering AI-enabled functionality to production and evaluating whether it works reliably.

Practical experience with cloud deployment, automated delivery processes and application monitoring.

Sound judgment when working with incomplete information, learning unfamiliar technologies and deciding what to build first.