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Senior AI/ML engineers in your standup within 72 hours.

Pre-vetted ML engineers, MLOps leads and AI/ML architects who join your team, your tools and your sprint. You interview, you decide.

BOOK A 30-MINUTE SCOPING CALL BOOK A CALL
  • 48–72 HOURS
  • TOP 3% ENGINEERS
  • 100% REPLACEMENT
WHY NOW

Gartner expects at least 50% of knowledge workers to develop skills to work with, govern or create AI agents by 2029, and gives software leaders a three-to-six-month window to set their agentic AI strategy (Gartner, Aug 2025). Hiring full-time AI talent on that timeline is hard. Searches take months, offers get countered, and the roadmap waits. Augmenting is fast.

  • 48–72hfrom first call to engineers in your standup
  • Top 3%of applicants, vetted for the work
  • 100%replacement guarantee on every hire
01 · ROLES WE PLACE

Roles we place.

  • AI/ML architects and senior ML engineers

  • MLOps and ML platform engineers

  • LLM and agent engineers (RAG, tool use, evaluation)

  • Data architects and senior data engineers (Snowflake, Databricks, MDM)

  • Computer vision and NLP specialists

02 · WHO THIS IS FOR

Who this is for.

  • CTOs and engineering heads whose AI roadmap has stalled on hiring.

  • Product teams that have a working prototype and need engineers who can take it to production.

  • Companies with data scientists but no MLOps, so models never leave notebooks.

  • Teams adding LLM features that need someone to own evaluation, retrieval and cost control.

  • Leaders who want specialist skill for six to twelve months without a permanent headcount decision.

03 · HOW IT WORKS (72 HOURS)

How it works (72 hours).

  1. 01

    Day 0

    30-minute scoping call on stack, team, timelines and budget.

  2. 02

    Day 1 to 2

    matched, hand-picked profiles.

  3. 03

    Day 2

    you interview the shortlist and make the final call.

  4. 04

    Day 3

    your engineer is in standup. Performance is tracked from day one.

04 · HOW WE WORK

How we work.

Our engineers work inside your repositories, tools and processes. They join your standups, follow your code review rules and use your ticketing. We do not run a parallel team. We do check in with you and the engineer on a regular rhythm, so problems surface in the first weeks, not at contract end. If the fit is wrong, the replacement guarantee applies.

Typical first tasks are chosen to prove fit quickly. An LLM engineer might build an evaluation set for an existing feature. An MLOps lead might audit deployment and monitoring and fix the top three gaps. A data engineer might trace a quality problem back to its source. Small, real work in week one tells you more than a long onboarding plan, and it gives your team an early look at how the engineer thinks and communicates.

If your needs change, we adjust. A team that starts with one ML engineer often adds a data engineer once the pipeline work becomes clear, or reduces to a part-time MLOps lead after launch. Monthly terms make that possible without a new procurement cycle.

05 · WHAT YOU GET

What you get.

  • A shortlist of hand-picked profiles with relevant project history, not a stack of CVs.

  • Direct interviews with each candidate, and the final decision on who joins.

  • An engineer who is productive in your stack from the first sprint.

  • Documentation and knowledge transfer built into the work, so nothing sits in one head.

  • Regular check-ins on performance and fit.

  • A replacement if it is not working.

  • Top 3% of applicants
  • Start in 48–72 hours
  • Dedicated account manager
  • 100% replacement guarantee
06 · TYPICAL TIMELINE

Typical timeline.

**Vetting:** Four gates (technical test, senior-engineer interview, culture and communication, background check). About 3% of applicants pass all four.

  1. 01

    Day 0 to 3

    scoping, shortlist, interviews and first engineer in standup.

  2. 02

    Week 1

    onboarding to code, data and tooling; first small task shipped.

  3. 03

    Weeks 2 to 4

    full contribution, with a review of fit and scope at the end of the first month.

  4. 04

    Month 2 onward

    steady delivery; add or reduce engineers as the roadmap needs.

Numbers from our 2026 client deck: 150+ developers deployed worldwide, 95% successful placement rate, 40% cost savings with staff augmentation, 100% replacement guarantee.

FAQ

Questions buyers ask.

Straight answers, before the first call. Ask us something else →

Yes. You interview the shortlist and make the final call. Nobody joins without your approval.

KEEP EXPLORING

LET'S TALK. Start now.

Tell us what you're building. We'll come back with a plan and matched, pre-vetted engineers.

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