Hire a Developer for an AI App: Evaluate Skills and Review Delivery
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Hiring a developer for an AI app starts with a specific problem and a clear description of the result you need. Use evidence of relevant experience, a limited paid trial, and observable acceptance criteria to choose someone whose work you can evaluate.
Describe the work before seeking candidates
Write down what the application currently does, where it fails, and who encounters the problem. You might have a complete interface but unreliable order storage, or a project that runs locally and fails after publication. Asking someone to finish the app leaves too many assumptions unresolved. Describe one user journey from start to finish, including the expected outcome of each step. This gives a developer enough context to distinguish a data problem from an access problem and identify what needs investigation before estimating the work.
Separate essential launch tasks from improvements that can wait. Give each task a small example, such as storing a booking with a date and party size and making it visible to the responsible employee. Include practical constraints: the target date, supported devices, information you can share, and your availability for reviews. If you started with Infera Agent, describe the current project and the behavior you have checked. Verify available project transfer or access options before agreeing on a collaboration method; do not assume every account offers the same facilities.
- Describe one complete user journey.
- Identify a result you can inspect.
- Separate launch requirements from later improvements.
Evaluate relevant experience with evidence
Ask candidates to explain a project with a problem similar to yours and identify their own contribution. Discuss a difficult decision, a failure they encountered, and how they checked the solution. A polished screenshot says little about error handling or maintainability. You do not need private client information: an anonymized example or a clear explanation of an implementation decision can be sufficient. Look for someone who explains uncertainty and names the checks needed before making a promise, rather than treating an unfamiliar project as already understood.
A small paid trial can show how collaboration works more clearly than a long interview. Choose a bounded task, such as fixing one saving step or documenting the cause of a repeatable error. Request a description of the change, the verification performed, and the remaining limitations. Do not use a trial to obtain a complete project without paying for it. Compare candidates using equivalent tasks and criteria. Assess communication, care with private information, and useful documentation alongside the technical result, since these habits affect every later milestone.
- Ask what the candidate personally delivered.
- Use a bounded trial with clear payment.
- Compare evidence against consistent criteria.
Agree on milestones and acceptance
Divide the assignment into milestones that produce reviewable results: assess the current state, fix the main journey, check unusual conditions, and prepare the handover. Define what belongs in each milestone and what is excluded. Identify who reviews delivery, when feedback is due, and how change requests are recorded. When a new request appears, discuss its effect on time and cost before adding it. This keeps a small repair from becoming an open ended rebuild and gives both parties a shared record of the agreed scope.
Avoid accepting a milestone solely because the interface looks good. Use concrete examples: an authorized user can update a record, an unauthorized user cannot perform the same action, and the update remains after reloading. Specify the files, instructions, and configuration information that will be delivered, along with any maintenance arrangement. Discuss control of accounts and intended rights to project outputs before work begins, obtaining specialist review where the agreement requires it. Keep a readable record of decisions so that delivery does not depend on either person remembering a conversation correctly.
- Connect each milestone to observable behavior.
- Record the effect of changes before implementation.
- Name the person responsible for acceptance.
Review the handover yourself
Review a runnable version with suitable test data. Complete the journey you requested, then try missing inputs, a lost connection, and a repeated submission. Ask the developer to explain where data is stored, how settings are changed, and which parts need ongoing attention. Keep essential project accounts under your organization’s control and grant access according to the actual task. Avoid placing passwords in general conversations. Use invented records when checking a screen does not require real customer information, and make the expected outcome explicit before performing the check.
The handover should include concise operating instructions, known issues, and a way to return to a stable version. Perform a setup or update step yourself while the developer can answer questions; this exposes gaps in the instructions before the engagement ends. Record which acceptance criteria passed and which need correction. Review access when the work is complete, taking any continuing support arrangement into account. A successful engagement leaves you able to operate the project, understand its limits, and commission the next improvement with useful context instead of relying on a brief demonstration.
- Run the main journey yourself.
- Request operating instructions and known limitations.
- Review access after the handover.
Questions
When do I need a developer if I already use AI?
Bring in a developer when you cannot diagnose a problem or verify the proposed solution, or when several parts need coordinated implementation. Define the task before choosing a specialist.
How should I compare different proposals?
Compare scope, deliverables, acceptance criteria, assumptions, and the process for changes. The quoted amount alone does not explain what you will receive or what remains your responsibility.
Should every candidate receive the whole project?
Start with a description and an example without private information. Share additional material when it is needed for evaluation or implementation, using the access options actually available in your environment.
What matters most at final delivery?
A runnable version, setup and maintenance instructions, documented changes and limitations, and recorded acceptance results. Confirm that you control the accounts and files needed to continue operating the project.