Graduate AI Product Engineer

Compensation: No equity

SoundSenseAI helps businesses find where AI can make a real difference and then deliver it: redesigning operations and building AI-enabled products and workflows for clients. We're hiring graduates to work across product and engineering on real client and internal problems.

Responsibilities

• Turn a client or user problem into a simple technical plan
• Build features across data, application logic and user interfaces
• Prototype AI-enabled tools and workflows, using coding agents while keeping tests and code quality high
• Test, deploy, monitor and improve what you build
• Work with clients and colleagues from discovery through to a usable result
• Document what you build and explain technical choices clearly to technical and non-technical people

Requirements

• A degree, or final year of a degree completed before you start (any subject; computer science not required)
• A solid grasp of software-engineering fundamentals
• At least one project you built and took far enough for someone else to use, test or review
• Clear thinking about problems, users and trade-offs, not only the technology
• Thoughtful use of AI tools, with the judgement to check their output

Nice to have

• Experience with web or mobile apps, data, APIs or language models
• Automating a manual task, or deploying and maintaining something people use
• Contributing to an open-source or team codebase

What you get

• A named supervisor, regular feedback and access to experienced founders, product practitioners and engineers
• A concrete project outcome agreed at the start, with a review after three months

Details

• Full-time
• Remote-first: you must be based in a country within two hours of GMT
• Contract basis
• Start dates throughout the year, by agreement
• We cannot offer visa sponsorship

How to apply

Apply through Wellfound. We review every application and invite shortlisted candidates to a short video introduction, followed by a 90-minute AI build session, a Q&A with the founders and case studies. The process takes about two weeks.