IT staff augmentation: hire the engineers behind platforms
hundreds of companies run on daily

Staff augmentation means you add our vetted engineers to your existing team, they work in your tools, attend your stand-ups, and report to your engineering manager, while we handle their employment, payroll, and HR. You keep full control of the roadmap, the code, and the day-to-day work. Project outsourcing is different: there you hand a defined scope to a vendor who owns delivery end to end and returns a finished product. Rule of thumb, augment when you have the direction and process but need more hands or a specific skill; outsource when you want someone else to own the outcome. We do both, and on the first call we'll tell you honestly which fits your situation.

With staff augmentation, the developer is embedded in your team and your management owns the work, you set the tasks and the priorities. With managed services, the provider takes ownership of a defined function against agreed targets (SLAs) and manages the people themselves. Augmentation gives you the most control; managed services trade some of that control for the provider carrying delivery responsibility. If you want engineers who slot into your process, augmentation is the right model. If you'd rather hand off a whole function, ask us about our managed delivery instead.

For roles that match our core stacks, Angular, React, Node.js, .NET, Python, Flutter, we typically shortlist candidates within 3–5 business days and can have someone contributing inside two weeks, subject to your interview process. You interview every candidate before they join; we never place someone you haven't met. Our engineers are permanent members of Teamseven, not a marketplace of strangers: they've worked across our 600+ projects since 2017, and you get their real code samples and references, not a polished bench profile.

You direct the work, tickets, priorities, code review, and definition of done are yours, exactly as with an in-house hire. We handle everything behind that: employment, payroll, equipment, leave cover, and a delivery lead who checks in so quality and communication stay on track. If a developer isn't the right fit, you tell us and we replace them, you're never stuck managing an HR problem that isn't yours.

You pay a single monthly rate per engineer with no recruitment fees, no payroll tax, no benefits overhead, and no long onboarding ramp. Because our team is based in Lahore, Pakistan and works across US, UK, and Australian time zones, rates are materially lower than hiring a senior engineer locally in those markets, while the seniority stays the same. We quote a transparent monthly rate per role after a short scoping call; there's no per-hour billing surprise and no minimum multi-year lock-in.

Yes. We already run active engagements across US (EST/PST), UK (GMT), and Australia (AEST), so our engineers work overlapping hours with your team for stand-ups, reviews, and pairing, not a fully offshore hand-off with a 12-hour lag. We agree the overlap window up front so your team has real-time collaboration when it matters.

That flexibility is the whole point of augmentation. You can add engineers as a release approaches and scale back when it ships, on agreed notice, without the cost and delay of hiring and layoffs. When an engagement ends, you keep everything: the code, the documentation, the context. We build for handover from day one so there's no lock-in and no knowledge that walks out the door.

Yes. Every engineer we place builds with LLMs, RAG pipelines, agentic workflows, and eval tooling as part of their standard toolkit, not as a separate specialism you pay extra for. Concretely, that means prompt versioning and structured outputs rather than a prompt hard-coded in a controller; retrieval built over real, messy company data with hallucination guardrails; tool use and multi-step agent orchestration wired into a production app; and the judgement to know when a frontier model is worth the cost and when a smaller one or no model is the right call. They are fluent across the OpenAI, Anthropic, and Gemini APIs, LangChain and LlamaIndex, and vector databases. This is how we built our own AI products, Tully AI and Mebag. You still get a senior full-stack engineer, the AI layer sits on top of real engineering, and they design the data model, APIs, and deploy pipeline the AI feature depends on.

Yes. Every engagement runs under an NDA and a written agreement that assigns all IP and code ownership to you. Our engineers follow your security policies, use your repositories and access controls, and we build to the data-handling guidelines your compliance programme requires, including engagements for UK clients under GDPR and US healthcare clients under HIPAA. We don't issue certifications; that's your auditor's role. You own everything they produce, unambiguously and in writing.