Hire Talent·By Discipline·AI / ML
Hire AI Engineers.
Engineers who command AI. Not dabble with it.
Senior AI / ML engineers embedded in your team through staff augmentation. The hardest hire in 2026. The shape of the role has changed faster than any other discipline , and the best AI engineers shipped before the boom, not because of it.
What they do
The work, in practice.
AI engineers at Lateral build production retrieval systems, eval harnesses, supervised agent stacks, and fine-tuned models. They understand inference economics. They’ve put models through audits. They know which problems don’t need an LLM.
Common stacks
The tools of the trade.
From the network
People, not profiles.
Current network members, anonymised to protect their next move.
Diego A. · Senior ML / AI Engineer
Built an eval-first agent stack for a Series B copilot. 96% gold-set pass.
PyTorchvLLMLangGraphModal
Priya R. · Staff Applied Scientist
Took a medical-imaging model from research to FDA 510(k) submission.
PythonJAXTritonpgvector
Kateryna V. · Senior LLM Engineer
Shipped a multi-agent dispatch tool replacing six legacy services.
OpenAIAnthropicLangGraphModal
How you engage them
One person, or the whole shape.
Why hire through Lateral
Three reasons engineering leaders choose us.
- 01Top 1%, vetted by engineers, not recruiters. Every AI / ML candidate is reviewed by a senior in the same discipline. No keyword matching, no leetcode.
- 02Matched in 7 days, in your time zone. We do not place engineers more than about four hours off your business day.
- 03Transparent pricing. 60 / 25 / 15: most of what you pay reaches the engineer. See the terms.
FAQ
Honest answers, common questions.
How do you screen for AI fluency vs. just "Python on a resume"?
Can your AI engineers take a model through FDA / regulatory submission?
What about cost / inference economics?
Hire AI / ML talent.
Tell us the role. A vetted shortlist by next week, in your time zone.