Premium engineering staff augmentation

Senior engineers,
selected with
uncommon rigor.

Add one specialist or assemble a complete engineering pod. Every introduction is backed by live technical evidence, advanced AI fluency, production judgment, collaboration performance, professional English, role-relevant behavioral evidence, and consent-based verification.

Vetted continuously. Introduced selectively. Embedded sustainably.

Inline Smart Match · Published-example preview

Describe the gap.
Watch the model respond.

Re-scoring published examples

Or start from
9
published examples

Watch it work — click anywhere to take over.

TECHNICAL DEPTHDOMAIN FITAI LITERACYCODE QUALITYASYNC COLLABPRODUCT THINKINGSRMLDATBAOLNPSMRHK
Published examples ready — standing by
awaiting preview
  1. Scanning examples
    Comparing published profile patterns
  2. Evaluating skills
    Comparing the brief with example evidence
  3. Matching on dimensions
    Timezone, seniority, working style
  4. Ranking patterns
    Scoring example overlap across six dimensions
  5. Fit preview ready
    This is not a candidate or availability claim

How it works

Fit first. Evidence at every step.

Whether you need one specialist, several engineers, or a complete pod, we begin with your outcomes, team, and working reality. Then we introduce only engineers who choose the opportunity and meet the evidence standard required for it.

Fit first. No shortcuts. Every introduction is earned.

  1. Shape your team brief

    Describe what you’re building and the capabilities you need. Our interactive agent helps turn that context into a clear, reviewable brief.

  2. Meet your talent partner

    A talent partner contacts you within one business day to calibrate the roles, working model, budget, and success criteria. You receive a search plan, commercial range, and realistic introduction window.

  3. Approve the private search

    Once you approve the brief and engagement terms, we begin outreach. For standard staff augmentation, there is no financial commitment until you select an engineer.

  4. We confirm interest and evidence

    Engineers review the actual opportunity and decide whether to opt in. We confirm interest, capacity, and role-specific evidence before presenting anyone.

  5. Meet and embed with confidence

    Review curated introductions, meet the strongest fits, and choose who joins your team. The engagement begins only after both sides agree.

The vetted network

Evidence of supply,not a candidate promise

These published profiles illustrate the patterns we vet for; they are not a shortlist and we do not promise these individuals will be contacted. Recruiters review each submitted position before posting or outreach, then invite and validate interested engineers.

Start a position
SR

Sofia Reyes

Principal AI Engineer

$11K
/mo
Vetted profileUS overlap
TB

Tom Becker

Senior Automation Engineer

$11K
/mo
Vetted profileEurope
AO

Aisha Okafor

Senior Data Scientist

$10K
/mo
Vetted profileUS overlap
BF

Ben Fischer

Staff AI Engineer

$12K
/mo
Vetted profileEurope
PS

Priya Sharma

Senior ML Engineer

$10K
/mo
Vetted profileUS overlap
MR

Mateo Rossi

Principal Automation Engineer

$14K
/mo
Vetted profileEurope
HK

Hana Kim

Senior AI Engineer

$10K
/mo
Vetted profileAsia
HK

Hana Kim

Senior AI Engineer

$10K
/mo
Vetted profileAsia
Capabilities

Five disciplines.
One standard of selection.

AI & Automation

Continuously vetted engineers

Senior AI engineers who take models from notebook to production — LLM apps, RAG, agents, and automation.

LLM Engineering
Apps, fine-tuning, evals
RAG & Retrieval
Vector search, grounding
Agents & Automation
Orchestration, tool use
NLP
Extraction, classification
MLOps
Serving, monitoring, scale
StackPythonLangChainPyTorchOpenAIVector DBsRay
The Blureffect Standard

Seven dimensions. No résumé shortcuts.

We do not assess engineers through pedigree, keywords, or a single coding test. We observe how they build, reason, communicate, and make decisions in realistic working conditions.

  1. Layer 01

    Continuous network vetting

    Establishes reusable baseline evidence and working preferences.

  2. Layer 02

    Role-specific clearance

    Confirms that the evidence, interest, availability, and constraints fit the actual client position.

Passing the network standard never enrolls an engineer in a client opportunity.

Success stories

Teams stay after the first engagement.

Three engagements, in the client's words and the numbers that followed.

Case files

01 / 03 · Halcyon

01 · Halcyon

“We needed RAG in production, not another proof of concept. Sofia shipped to prod in her first week — by the end of the sprint she was reviewing our own team’s PRs.”
JMJordan MehtaVP Engineering, Halcyon · Series C fintech

On this engagement

SRSofia ReyesPrincipal AI Engineer · US overlap
First prod deploy
Day 4
POC → GA
11 weeks
P95 retrieval latency
−62%

02 · Nordfreight

“Our demand forecasts were guesswork dressed as dashboards. Mara rebuilt the pipeline in six weeks — the error bars finally mean something.”
EVElena VossHead of Data, Nordfreight · Series B logistics

On this engagement

MLMara LindqvistSenior ML Engineer · Europe
Forecast error (MAPE)
−34%
Pipeline rebuild
6 weeks
Stockouts / quarter
41 → 7

03 · Meridian Health

“Claims processing ate four analysts’ mornings, every morning. Tom automated the intake in one quarter — then we asked for three more engineers.”
DODaniel OkoyeCOO, Meridian Health · Series B healthtech

On this engagement

TBTom BecklerSenior Automation Eng. · Europe
Claims touch time
14 min → 90 s
Analyst hours reclaimed
68 /wk
Team grew
1 → 4 engineers

Across the network

senior interviews and vetting
Daily
senior interviews and vetting
fit-preview dimensions
6
fit-preview dimensions
required before client introduction
Opt-in
required before client introduction
recruiter review before outreach
Human
recruiter review before outreach

Describe your team. We run the search.

One sentence drafts your team brief and previews representative fit patterns. Nothing is published and no engineer is contacted until a talent partner reviews the scope with you.

The right engineer. The right environment. Performance built to last.