AI & machine learning
Hire AI and machine learning engineers in the US & Canada
From a promising demo to an AI feature that works reliably in production.
Building an AI demo is easy. Making it dependable for real users is the hard part: grounding answers, measuring quality, controlling cost and handling the cases where the model is wrong.
Our AI and machine learning engineers have shipped features beyond the prototype stage. They combine solid software engineering with practical judgement about when a model helps and when a simpler approach is better.
What they typically own
- Building retrieval-augmented generation pipelines over your own data
- Designing evaluation sets so you can measure whether changes improve quality
- Adding guardrails, fallbacks and monitoring to LLM-powered features
- Training, fine-tuning and deploying models with solid MLOps practices
- Managing latency and cost so AI features are viable at scale
How we vet
What we look for in ai & machine learning engineers
On top of our standard assessment (system design, coding and references), we test the things that matter most for this role.
Beyond the prompt
We look for engineers who can explain how they would evaluate and monitor a model, not just call an API.
Software engineering fundamentals
Production ML needs clean services, tests and deployment discipline, so we assess these directly.
Honest trade-offs
Candidates discuss when not to use AI, which is a good signal of real experience.
Read more in our guide: how to vet a senior engineer.
Questions
Before you hire
Do your engineers work with the major LLM providers?
They work with the leading hosted models and open-source options. The right choice depends on your data, latency and cost needs, and they'll help you decide.
Can you help us evaluate whether AI is worth building?
Yes. A short discovery engagement can test feasibility and cost before you commit to a larger build.
Other roles we place
Ready to meet ai & machine learning engineers?
Tell us about your stack and timeline. We'll introduce engineers who fit, and reply within one business day.