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Talent·By Discipline·AI / ML

Hire AI / ML 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

AI engineers at Lateral build production retrieval systems, eval harnesses, supervised agent stacks, and fine-tuned models.

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

What they bring to the table.

PythonPyTorchJAXLangGraphLlamaIndexOpenAI / Anthropic SDKsvLLMTritonRayMONAIWeights & BiasespgvectorPineconeModal

Sample profiles

Real engineers. Anonymised.

Profiles below are from current network members, anonymised to protect their next move.

Diego A.

Senior ML / AI Engineer · 8 yrs

"Built an eval-first agent stack for a Series B copilot. 96% gold-set pass."

PyTorchvLLMLangGraphModal

Buenos Aires · UTC−3

Priya R.

Staff Applied Scientist · 11 yrs

"Took a medical-imaging model from research to FDA 510(k) submission."

PythonJAXTritonpgvector

Bangalore · UTC+5:30

Kateryna V.

Senior LLM Engineer · 6 yrs

"Shipped a multi-agent dispatch tool replacing six legacy services."

OpenAIAnthropicLangGraphModal

Lisbon · UTC+0

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 don't place engineers more than ~4 hours off your business day.
  • 03Transparent pricing. 60/25/15: most of what you pay reaches the engineer. See the breakdown.

FAQ

Honest answers, common questions.

How do you screen for AI fluency vs. just "Python on a resume"?
Every AI candidate ships a live evaluation: a real retrieval task, a real agent loop, a real eval harness. The submissions are reviewed by engineers. Not recruiters.
Can your AI engineers take a model through FDA / regulatory submission?
Yes. We’ve done it. Ezra Flash was a Lateral build with a 510(k) clearance in 2023. Ask us for the playbook.
What about cost / inference economics?
It’s the first conversation we have. Most teams under-estimate inference costs by 3–5x at scale. Our engineers cost-model before they prototype.

Hire AI / ML talent.

Tell us the role. Shortlist by next week.

Work with LateralEngineers · Teams · Entire builds
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