Hire AI/ML developers for your team in the United States

Start with the business problem. A developer should agree how you will measure success, using real examples, time saved or error rate, before choosing a model.

• Model choiceThey explain when a large language model API fits, when a model trained on your data is useful and when ordinary rules are enough.
• Document retrievalThey split documents, create embeddings and store them in a vector database, then pass relevant passages to the model with citations.
• Data preparationThey clean and label data, separate training and test sets correctly, and check for bias and leakage between those sets.
• Technical toolsThey understand tools such as Python, PyTorch, scikit-learn and pandas, as well as model APIs, and select tools suited to the work.

You direct the work and choose the capacity your backlog needs. We include a lead who reviews code and keeps the work on track.

1. 01

   Scope

   We learn your business, audience and goals, then agree the work together before design and build begin.

2. 02

   Connect

   Developers work in your repository, tickets and stand-ups. We agree an overlap window with you up front, so questions have a route to an answer.

3. 03

   Onboard

   We set up the environment, walk through the product and codebase, and take on a small real task that touches the main parts of the system.

4. 04

   Document

   Share your architecture overview, coding standards, branching and release process, and local setup instructions. We write down gaps found during onboarding.

5. 05

   Review

   We use code reviews, tests and documentation to keep the work maintainable, so your team has material to work with as the product changes.

Healthcare organisations working with protected health information need a written agreement documenting safeguards when a covered entity lets a business associate handle that information. We set up individual accounts with only the permissions needed, starting in staging, and add production access once the review process is in place.

Financial institutions under the FTC Safeguards Rule need safeguards in service-provider contracts and periodic assessments. For AI features, we set up a policy covering what goes to a model provider, what is stored and who can read the logs.

Give the developer enough context to begin on useful work.

• Rank your backlog or describe the first tasks, so there is work ready to pick up.
• Name the skills and seniority needed, including mobile, back-end, a specific framework or experience with a legacy system.
• Set out your working hours, the overlap you need and who will answer the developer’s questions.
• Define doneinclude review rules, expected tests and who approves and deploys the work.