Vetted software engineers, DevOps, cloud, QA, and data engineers who join your team under your management. No recruitment overhead, no long-term commitment, no waiting 4 months to fill a seat that needed filling yesterday.
Every month a critical engineering seat sits empty has a cost: sprints slow, roadmap items slip, existing engineers burn out covering the gap. A US senior engineer hire takes 3-6 months on average — and that is before the 2-4 month ramp-up to full productivity. You are looking at 5-10 months before you feel the full impact.
IT staff augmentation compresses this to 2-3 weeks. The engineer who joins has already been screened: technical assessment, live interview, communication evaluation, reference check. They start contributing within days of onboarding, not months.
For project-specific work — a product launch, a platform migration, a new AI feature — augmentation is almost always faster and more economical than hiring. When the project is done, you scale down cleanly, with no severance or long-term overhead.
10 specialist tech roles, each with a dedicated vetting track and match timeline.
| Role | Core Skills | Match Time | Hire Page |
|---|---|---|---|
| AI / ML Engineer | LangChain, RAG, LLM APIs, PyTorch, MLflow | 48 hrs | View role → |
| Python Developer | FastAPI, Django, async, LLM integrations, Pytest | 48 hrs | View role → |
| React / Next.js Developer | React 18/19, TypeScript, Tailwind, streaming UI | 48 hrs | View role → |
| Full-Stack Engineer | React + Python/Node, PostgreSQL, Docker, AWS | 48 hrs | View role → |
| DevOps Engineer | Kubernetes, Terraform, GitHub Actions, ArgoCD | 48-72 hrs | View role → |
| Cloud Engineer | AWS / GCP / Azure, IaC, EKS/GKE, cost optimisation | 48-72 hrs | View role → |
| Data Engineer | dbt, Airflow, Spark, Snowflake, feature stores | 48-72 hrs | View role → |
| QA Automation Engineer | Playwright, Pytest, k6, LLM output eval, CI integration | 48-72 hrs | View role → |
| Software Engineer | Python / TypeScript / Go, REST APIs, Docker, AWS | 48 hrs | View role → |
| Cybersecurity Engineer | OWASP, IAM, SAST/DAST, SOC 2, prompt injection defense | 72 hrs | View role → |
Full-time hiring has hidden costs most companies underestimate. Here is a like-for-like comparison for a 12-month engagement.
| Cost Item | Full-Time Hire | IT Staff Augmentation |
|---|---|---|
| Recruitment fee (typical agency: 20% of salary) | $30K-$50K | $0 |
| Time to fill (lost productivity) | 3-6 months | 2 weeks |
| Benefits + employer taxes | 25-35% on top of salary | None |
| Ramp-up time to full productivity | 2-4 months | 2-4 weeks |
| Severance / off-boarding risk | 1-3 months salary | None |
| Flexibility to scale down | Costly and slow | 2-4 weeks notice |
Brief us in 30 minutes. Pre-screened candidates in 48 hours. Contributing to your team in 2 weeks.
Start the BriefA Series A fintech was hitting infrastructure bottlenecks as user growth accelerated. Their two backend engineers were spending 40% of their time on ops. They needed a dedicated DevOps and cloud engineer but had no budget for a full-time hire at US market rates. We matched a senior AWS DevOps engineer within 48 hours. He joined their GitHub, Slack, and Linear. Within 3 weeks, deploy times dropped from 45 minutes to 6 minutes and the backend team reclaimed their ops time.
IT staff augmentation is a model for extending your technology team with external engineers who work under your direct management, on your projects, in your tools. It covers any technical role: software engineers, DevOps, cloud engineers, QA, data engineers, and AI/ML specialists. You gain the skills you need quickly, without full-time hiring overhead.
Kovil AI augments: AI/ML engineers, software engineers (Python, TypeScript, Go, Java), React/Next.js frontend developers, full-stack engineers, DevOps and platform engineers, cloud engineers (AWS/GCP/Azure), data engineers, QA automation engineers, cybersecurity engineers, and technical product managers. All roles are screened for both technical depth and remote collaboration.
With IT outsourcing, you hand a project to a firm that manages it and returns results. With IT staff augmentation, the engineers are direct members of your team: they take direction from your managers, join your standups, and work in your project management tools. You never lose visibility or control. This matters for complex, ongoing work where context and culture continuity are important.
For most roles, we present 2-3 pre-screened candidates within 48 hours of a brief. After your interview and selection, engineers typically start within 1-2 weeks. This covers access provisioning and a context-setting kickoff sprint. The total timeline from brief to productive contribution is 2-3 weeks, compared to 3-6 months for a full-time hire.
Yes. We match based on timezone overlap. Most clients request 4+ hours of synchronous overlap per day. We have engineers across North America, South America, Europe, and South/Southeast Asia. We will only present candidates who can commit to daily standups and real-time collaboration during your core hours.
Full-time senior engineer total cost (salary + benefits + taxes + equity) runs $180K-$250K+ per year in the US. IT staff augmentation provides comparable seniority without employer overhead, typically at lower all-in cost for the engagement period — with no recruitment fees, no benefits administration, and no severance risk when the project ends. For project-based work, augmentation is almost always more economical.
Every Kovil AI placement comes with a 2-week trial period. If the engineer does not meet your expectations for any reason — technical output, communication quality, or cultural fit — we replace them at no additional cost within that window. After the trial period, standard notice terms apply. Our vetting rate of less than 3% acceptance means replacements are rare in practice.
Yes. Many clients augment with 2-5 engineers simultaneously, either as a group of specialists or as a cohesive pod. For team-based augmentation where you want engineers who work together (not just independently), see our Dedicated Development Team model, which provides a pre-formed team with a tech lead, engineers, and QA.
Tell us the role and the skills. Pre-screened engineers in 48 hours. Contributing in 2 weeks.
Get Engineers in 2 Weeks