How to hire forward deployed engineers

Name the users, systems and likely integration work. Say whether the person will work on your own product, with multiple customers or inside a single business team. Include travel and on-site expectations explicitly; “forward deployed” does not tell a candidate how often they will be away.

Explain who reviews architecture, who owns the business result and who supports the system after release. The FDE operating model helps establish those boundaries. Avoid writing a job description that combines an entire engineering team into one role.

Agree a limited time commitment and supply mock or public data. A useful exercise might retrieve approved records, generate a draft and expose the supporting references. Ask for error handling, access boundaries and a short explanation of how the candidate would test output quality.

Review the code with the candidate. Ask how they would detect failures and reverse an unsafe change. AI evaluation consulting explains why a few impressive answers are weak acceptance evidence; AI deployment services cover the operational concerns to discuss.

Use the early period to establish the baseline and test cases, not just a feature list. Schedule review with real users. Make deployment and knowledge transfer part of completion so the engineer is not rewarded for a demo that another team must turn into a service.

If a permanent search will take time, compare an embedded engagement with forward deployed engineers for hire. That interim route still needs explicit code ownership and handover arrangements before work begins.