How is this different from Upwork/Toptal-style marketplaces?

Marketplace platforms hand you a stranger and a rating; we hand you an engineer we employ, vetted by our seniors, backed by a replacement guarantee, with our reputation attached to their output. The failure mode you're avoiding is the three-week discovery that a contractor's portfolio was aspirational.

Who manages the engineer?

You do — that's the model. We stay involved for HR, escalation, and quality spot-checks, but direction is yours. No engineering management on your side? [Dedicated team](/services/dedicated-development-teams/) instead.

Can we scale from one engineer to several?

Yes — one-engineer starts that grow into pods are the most common trajectory here. [Team extension models →](/resources/hiring-developers/team-extension-models/)

What about our IP and security requirements?

IP assignment from day one, per-engineer NDAs, background checks, and access under your control. Compliance environments (HIPAA/SOC 2) accommodated with training and audit trails — [state real certifications].

What if it's not working out?

Say so once: replacement at our cost with paired handover. The guarantee is in the SOW because vendors who make you fight for it are telling you who they are.

IT Staff Augmentation Services

The model's honesty requirement first: augmentation works when you have engineering management — someone to direct work, review code, and own delivery. If you don't, augmented engineers idle expensively while everyone assumes someone else is steering; the right product for that situation is a dedicated team with a delivery lead included, and we'll route you there without a sales fight. The three models compared →

[Trust bar: engineers placed · average time-to-productive · client retention]

[ ROLES WE FILL · 01 ]

Frontend (React/Next.js, Angular, Vue) · Backend (Node, Python, .NET, Java, Go) · Mobile (Flutter, React Native, Swift, Kotlin) · QA & automation · DevOps/SRE (AWS/Azure, Kubernetes, Terraform) · Data engineering · AI engineers (LLM apps, RAG, agents) — the currently scarcest and most résumé-inflated category, which makes vetting the product; see below.

[ HOW VETTING ACTUALLY · 02 ]

How Vetting Actually Works Here

Every engineer you see has passed: a live technical interview with a senior Clickmasters engineer in their stack (not a quiz site score), a practical exercise reviewed for code quality rather than puzzle speed, an English and communication assessment calibrated for US standup reality, and reference verification. You then interview finalists yourself — typically 2–3 profiles per role, not a résumé flood. If nobody clears your bar, that's our problem to fix, not your inbox's.

AI-role note: "LLM experience" on résumés currently means anything from shipped production RAG systems to a weekend of API calls. Our AI-engineer vetting includes evaluation-design and cost-engineering questions that separate the two — ask us to show you the rubric.

[ ENGAGEMENT MECHANICS · 03 ]

Engagement Mechanics

**Start:** profiles in 3–5 days, engineer productive in 1–2 weeks.

**Integration:** your repos, your rituals, your review standards; our engineers adapt to you — [onboarding guide →](/resources/hiring-developers/onboarding-external-dev-team-codebase/).

**Time zones:** [state real overlap guarantee] hours of daily US-hours overlap minimum.

**Terms:** monthly billing, 30-day notice, no placement fees, no lock-in.

**Replacement guarantee:** wrong fit → replaced at our cost with overlap handover, typically inside 2–3 weeks.

**Conversion path:** want to hire them after [12 — state real] months? Defined terms, no poaching war. [State policy.]

**Security:** NDAs per engineer, background checks, least-privilege access you control, IP assignment absolute. [IP protection →](/resources/hiring-developers/ip-protection-outsourced-teams/)

[ WHEN AUGMENTATION IS · 04 ]

When Augmentation Is the Right Call

A deadline moved and the team didn't grow with it · a specialist gap (that one Kubernetes migration; the AI feature the board asked about) blocking a generalist team · backfilling a departure while you run a proper search · smoothing the gap between funding rounds or hiring-freeze quarters · scaling a proven team without the recruiter fees (rate math here →).

[ RATES · 05 ]

Rates

Transparent monthly rates by seniority and stack — [publish real rate card: mid $X/mo · senior $Y/mo · staff/lead $Z/mo; AI and DevOps premiums stated]. Benchmarks against US contractor and in-house fully-loaded costs: rate guide →.

Profiles in 3–5 days; productive engineer in 1–2 weeks. "Productive" means merged PRs, not filled seats — we track time-to-first-merge as our own KPI.

— Support

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