Your engineering lead rejects another round of AI resumes. Recruiting has found candidates who match the listed skills, yet the hiring team cannot explain what is missing. That is often a role-definition problem worth solving before the next sourcing cycle.
A workable hiring process gives recruiting enough detail to find relevant people and gives engineering a consistent basis for deciding who can do the work.
Start with a one-page role document
Describe what the engineer will own during the first quarter. A production ML role may involve deployment, monitoring and integration with existing systems. A data engineering role may be focused on the pipelines that make that work possible. The title alone rarely distinguishes them.
Write the required daily stack, the level of autonomy, and the type of work a qualified candidate should be able to discuss. State who will review the new hire’s technical decisions. If that person has little capacity, the role may need someone able to operate more independently.
Recruiting and engineering should agree on the requirements before outreach begins. Align compensation expectations and the person who can make the final hiring decision at the same time. A disagreement that appears at offer stage can undo weeks of work.
Design the interview loop before you source
Each interview should answer a defined question. Engineering can decide whether the candidate understands the required systems and can explain practical trade-offs. A separate working discussion may explore collaboration with product and other teams.
Avoid having several interviewers assess the same vague impression of seniority. Give each reviewer a clear area and a simple way to record the evidence behind a recommendation. That makes disagreements easier to resolve and gives candidates a more predictable process.
Agree on availability before opening the search. If senior interviewers cannot participate promptly, an ambitious hiring timeline will be difficult to meet regardless of sourcing capacity.
Evaluate the work, not the resume
Ask a candidate to explain a relevant project, including the part they personally owned. Their answers can inform follow-up questions about architecture choices, difficult constraints and how problems were diagnosed. A detailed explanation is useful evidence, though it is not conclusive proof of performance.
If your engineering team uses a work sample or technical exercise, keep it closely tied to the role and proportionate to the decision being made. Technical evaluation belongs to your team, including the choice of questions and the final assessment.
A reference conversation, when appropriate and permitted, can help clarify the candidate’s scope of responsibility. Ask how the person worked with reviewers, what they changed independently and where they needed support.
For a distributed team, include a realistic conversation with the colleagues the engineer would work with. This can help your team understand communication in the context of its actual meetings.
Prepare onboarding before the offer
Hiring can succeed on paper and still lose momentum if the engineer arrives without access or a technical point of contact. Your team should decide what environment, data and documentation the person can use on day one.
Choose a first project that matches the level of independence discussed during hiring. The goal is to avoid discovering after the offer that no one has time to review the work or explain the existing system.
Before issuing an offer, confirm the compensation, location, intended employment arrangement, start date and person authorized to make the decision. Make sure those terms match what the candidate heard during interviews.
Where a specialist partner fits
A specialist partner can reduce the amount of initial sourcing and resume review handled by your team. Tesoro AI sources and vets LATAM AI engineering candidates through human-led screening against the role requirements you share. We also confirm bilingual capability and Americas time-zone alignment.
We provide a curated shortlist, meaning a focused set of candidates reviewed for your specific role rather than a broad collection that engineering must sort from scratch. Your team keeps ownership of technical interviews, the selection decision and its onboarding setup.
If the resumes reaching engineering do not match the work that needs to be done, submit the role and its key responsibilities through Start Hiring.