AI Product Engineering
Product strategy, UX, architecture, and software delivery for AI-enabled products.
What is included
What this work covers
Each engagement is scoped to the problem at hand, so the shape of the work varies. These are the parts that are always accounted for.
- Product discovery and technical scoping
- Application and API development
- Evaluation and production monitoring
- Documentation and handover
Fit
Who this is not for
Not a fit if you need large-scale staff augmentation — we build small scoped products, not benches.
Questions
What clients ask about this work
- How do you typically work with clients?
- We use fixed-scope builds for clearly defined products and embedded monthly engagements when the roadmap is still changing. Each engagement begins with a short discovery to agree on the problem, users, data, success measures, and milestones.
- How long does a project take?
- A focused AI integration can take weeks, while a complete software product usually takes several months. We provide a practical estimate after discovery because data quality, integrations, and evaluation requirements affect the schedule.
- How do we work across timezones?
- Overlapping hours for decisions and async written updates otherwise. Discovery and milestones are agreed in writing before the build starts.
Other services
Where this connects
Most engagements touch more than one of these. The others are worth a look if this is close to your problem.
Advanced RAG Solutions
Retrieval systems that connect language models to your documents, databases, and domain knowledge with traceable sources and access controls.
Generative AI Products
Task-focused assistants and workflow tools designed around the way your team already works.
Contact
Bring us the problem, not a finished specification
Describe the workflow, the information involved, and where the current approach falls short. We will help define a practical first release.