Product Engineer

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 a Product Engineer to design, build and deploy custom AI systems for key clients.

You will work closely with client teams to turn complex operational problems into production systems that deliver measurable results quickly. This is a hands-on role. You will build the product and oversee the AI coding agents that contribute code. As you progress, you will define the architecture and lead other engineers.

You will work across different industries and business problems. You will also help shape our internal products and technical direction.

Usually two to four years shipping production software. You own features end to end with light review, and you take part in client discovery and delivery. The experience shown is a guide, not a rule: we care more about what you have shipped than how long it took.

Responsibilities

• Translate complex business problems into clear technical plans for AI systems
• Design and build full-stack AI applications, from data processing through to the user interface
• Deploy systems in cloud, on-premises and hybrid environments
• Run client workshops and document solutions for a successful handover
• Work with our internal research and development team to shape the core technology roadmap
• Monitor and tune production systems so that they continue to deliver value and meet agreed KPIs

Example projects

Some projects we have worked on:

• an AI system that analyses laboratory results. It extracts and translates the data into a standard format and provides concluding commentary
• an AI-driven operating system for a car finance business. It analyses calls, emails, payments and loan details, and helps the client's staff make the right decisions for their customers
• a coding agent orchestrator that enables the rapid development of software with many agents while ensuring the code quality remains high
• a generalised workflow execution system that is flexible enough for engineers to build, express and execute any business workflow quickly and efficiently

What we are looking for

This role suits someone who combines strong engineering skills with sound product judgement and clear client communication.

You can turn an unclear business need into a focused production system. You favour useful working software over unnecessary technical complexity.

You take responsibility for quality, timelines, and the value of the final product. The more senior the level, the less direction you need.

You also use AI coding agents to increase your output. You still maintain strong development standards, reliable tests, and clean collaboration in a shared codebase.

For this mid-level role, you should be able to show:

• Strong delivery judgement: you can pick pragmatic architectures, cut scope intelligently, and keep momentum as requirements evolve
• A track record of taking products from discovery to MVP to production, with clear success metrics
• Full-stack strength (for example TypeScript/Node and React, or Python and FastAPI/Django) and the ability to own features end to end
• System and API design: service boundaries, data models, reliability patterns and clean interfaces
• Deployment and ops: Docker, CI/CD, observability, and running workloads on AWS, GCP, Azure or on-prem
• Hands-on experience with LLM systems: RAG, prompt and tooling patterns, grounding, evaluation and guardrails, and data pipelines for ingestion and incremental updates
• Comfort using AI coding agents to move faster without compromising quality (tests, reviews, linting and maintainable code)
• Ability to raise engineering standards in a small team
• Practical product thinking and strong technical communication: you can run discovery sessions, write clear solution docs, set expectations and earn trust with stakeholders

Nice to have

• Experience managing servers and services that run on client sites
• AI experience in specialised industries such as finance, healthcare or field services
• Experience with multimodal models, voice processing or edge deployment
• Experience as a founder or early employee at a seed-stage company

This role is unlikely to suit

• Engineers who prefer little client contact
• People who need constant direction or detailed task specifications

What you get

• Ownership of client outcomes, from early discovery through to production
• A flat hierarchy with small teams and no politics
• The chance to learn from founders who have built and sold businesses
• Experience across several industries

Details

• Remote-first: you must be based in a country in the GMT-3 to GMT+3 time zone band
• Compensation: competitive based on experience
• This role is offered on a contract basis
• We cannot offer visa sponsorship

How to apply

Apply through Wellfound. We'll then ask you for a short intro video (up to 10 minutes) and your CV. In the video, introduce yourself, tell us why you want to join SoundSenseAI, and walk us through something you've built. We'd strongly prefer you to screen-share an application you've built while you talk, so we can see how it works; a verbal walkthrough is fine if you can't.

If your video is successful, the next steps are a 90-minute AI build session on your own computer using whichever AI tools you prefer, a 30-minute meeting with the founders where you ask the questions, and 60 minutes of case studies with members of the team. The process takes about two weeks, and you'll always know what's next and where you stand.