IT Staff Augmentation
IT Staff Augmentation: Senior Engineers in Your Sprints
IT staff augmentation for teams that need capacity without losing control of priorities. Take individual engineers into your own sprints, or a dedicated development team that owns a roadmap end to end.
Augment Your Team With Senior Engineers
A look at what the numbers say about the team behind your build.
- 45+
- Engineers
- 50+
- Projects Deployed
- 10+
- Industries Worked In
- 2
- Development Facilities
- 10+
- Years of Experience
- 100+
- Happy Customers
- 24/7
- Support Availability
- 95%
- Client Retention
01 Trusted by
Teams we have scaled
From venture-backed startups to enterprise IT, these are the teams whose sprints our engineers joined.
02 Capabilities
Dedicated Development Teams and Individual Engineers
You can take individual senior engineers into your own sprints, or a dedicated development team that owns a roadmap end to end. Both use the same people and the same standards. What changes is who sets priorities: with augmentation your leads do, and with a dedicated team we run the backlog with you.
What is MLOps?-
Senior Engineers Only
People who have shipped and supported production systems, so they contribute in review as well as in code, and need direction rather than supervision.
What is MLOps? -
Two-Week Ramp
A structured onboarding to your repo, environments and standards, with a first meaningful pull request inside the first sprint.
What is MLOps? -
Your Sprints, Your Board
Our engineers work in your tracker, attend your standups and pick up from your backlog. There is no parallel process to reconcile.
What is MLOps? -
Your Review Process
Every change goes through your review and your quality gates, so standards stay yours and the codebase stays consistent.
What is MLOps? -
Specialist Skills On Demand
AI, data engineering, DevOps or mobile added for the stretch you need them, without hiring for a permanent role you may not.
What is MLOps? -
Monthly Rolling
Notice-based rather than fixed-term, so capacity matches the roadmap instead of matching the contract.
What is MLOps?
03 Our process
How IT Staff Augmentation Starts
Engineers join in five steps, from a scoping call through profile selection and a two week ramp, to contributing inside your sprint. They work in your tools, your standups and your review process, so it looks like a new hire starting rather than a supplier being integrated.
See our rates-
Scoping & Team Design
We agree the roadmap, the skills it needs and the shape of the team, so the brief describes outcomes rather than job titles.
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Selection & Introductions
A shortlist you interview. Nobody joins your team without your say, and we replace a poor fit rather than defend it.
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Onboarding & Access
Repo, environments, tooling and standards, handled as a checklist, so the first sprint goes on the product rather than on setup.
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Ramp-Up Sprint
A deliberately scoped first sprint that produces a real pull request and surfaces process gaps while they are still cheap to fix.
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Steady-State Delivery
Weekly demos, a shared backlog and a monthly capacity review, with the same people staying on the product.
04 Industries
Engineers for Regulated Industries
People who arrive already familiar with the workflows, records and rules each sector runs on.
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ITSM
Service-desk copilots that triage tickets and deflect L1/L2 volume, built and maintained by dedicated engineers in your existing tooling.
9+ Projects -
Legal
Contract and trust document review with retrieval over your own precedent library, cutting document review time by 60%.
6+ Projects -
Healthcare
Clinical documentation, intake, and patient records under HIPAA-compliant, auditable data flows, reducing documentation time by 40%.
10+ Projects -
Real Estate
Listing intelligence, valuation support, and agent workflows where search, updates, and coordination run continuously.
7+ Projects -
Construction
Estimating and field reporting connected to systems crews already use, delivered by dedicated teams who ramp into your stack.
8+ Projects -
Logistics
Dispatch, tracking, and exception handling where timing and visibility drive the operating decisions of the day.
6+ Projects
05 Case studies
Teams we have strengthened
Roadmaps that shipped because capacity arrived in time.
Change Management
AI-Powered Enterprise Change Management for Large-Scale Organizations
Enterprise change management software letting organisations execute, monitor and sustain change faster, with the progress of every initiative visible in one place.
Construction Management
Real-Time Construction Coordination, From HQ to Field
A construction coordination platform for multi site work, replacing spreadsheets and scattered email with tasks, schedules and on site progress synced in real time.
Legal & Estate Planning
Building a Secure, Multi-Portal Legal Platform
A digital estate planning platform running end to end across three portals, simplifying legal documentation and improving transparency for every party to a trust.
AI Based Real Estate Property
AI-Driven Property Insights Platform
Landwise NWA transforms commercial real estate workflows by providing AI-powered insights and data integration for faster decisions.
AI Automation
AI-Powered Content Automation Platform
An AI content engine that turns sales and strategy calls into ready-to-post content, matched to the brand's own voice and scheduled straight to LinkedIn.
06 Client review
Support did not stop at launch.
Weekly demos during the build, documented decisions, and a support arrangement that has now run for two years past release.
Trustpilot
07 Tech stack
Skills we augment with
The models, frameworks and tooling our engineers bring to your team.
- OpenAI
- Claude
- Gemini
- Llama 3
- Mistral
- Falcon
- LangChain
- LlamaIndex
- Haystack
- DSPy
- LoRA
- PEFT
- Axolotl
- Unsloth
- Pinecone
- Weaviate
- pgvector
- Qdrant
- Chroma
- OpenAI API
- Anthropic API
- Vertex AI
- Bedrock
- LangSmith
- Langfuse
- Arize
- Helicone
- Guardrails AI
- NeMo Guardrails
- Presidio
- Streamlit
- Chainlit
- Next.js
- Vercel AI SDK
- React
- Tailwind CSS
- TypeScript
- Python
- Django
- Node.js
- Celery
- PostgreSQL
- Redis
- WebSockets
- AWS
- Azure
- Kubernetes
- GitHub Actions
08 Challenges
Why hiring contractors goes wrong
Hiring contractors goes wrong when people rotate before they learn the system, when they sit outside your review process and quality drifts, or when nobody can say afterwards what was delivered. We keep the same engineers on the same product, inside your process, with the work visible in your own tracker.
Hiring that takes a quarter
Ramp-up that eats the quarter
Contractors outside the process
Juniors billed as seniors
Priorities quietly leaving your hands
Fixed terms, moving roadmap
09 Advantages
Why Teams Choose Our IT Staff Augmentation
Teams choose our IT staff augmentation because they get senior people, a two week ramp, and priorities that stay with their own leads. You are adding capacity rather than handing over control, and you can scale back down when the roadmap changes without renegotiating anything.
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Senior by Default
Engineers who have shipped and supported production systems. They contribute in review, not just in tickets, and need direction rather than supervision.
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Contributing Inside Two Weeks
A structured ramp to your repo, environments and standards, with a meaningful pull request in the first sprint rather than the second month.
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Your Process Stays Yours
Your tracker, your standups, your review gates. Standards do not drift, because the work never leaves your pipeline.
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You Keep the Priorities
We add capacity, not a competing plan. Sequence stays with your leads, which is the difference between augmentation and outsourcing.
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Specialists When You Need Them
AI, data, DevOps and mobile skills for the stretch you need them, without hiring permanently for a temporary gap.
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Notice, Not Lock-In
Monthly rolling rather than fixed-term, so capacity follows the roadmap instead of the contract.
10 More services
What else we do
The rest of our range, from AI engineering to a full pod owning a roadmap.
- Business Process Automation We automate the repeatable parts of a process, from document intake to decisions and handoffs, with an exception path designed before the happy path.
- AI Consulting A short discovery that identifies high-impact use cases, reviews your data and systems, and returns a phased roadmap with costs and risks attached.
- AI Integration We wire AI into the systems you already run, with identity, data, latency and failure behaviour designed before anything ships.
- Chatbot Development Assistants that answer from your own content, hand off cleanly to a person, and log every conversation for review.
- Generative AI Consulting A short engagement that finds where generative AI pays for itself in your business, and where it does not.
- Generative AI Development We design and integrate large language model features into your product, with retrieval, evaluation harnesses, and prompt governance in place before launch.
- AI Agent Development Assistants and autonomous agents that work inside your systems, handling support, intake, and internal workflows with human handoff where it matters.
- AI Copilot Development Copilots built into your product, so the assistant works where your users already are rather than in a separate window.
- Machine Learning Development Forecasting, classification, and computer vision models trained on your data, deployed with monitoring so accuracy is measured rather than assumed.
- Machine Learning Consulting An assessment of whether the signal you need exists in your data, and what a model would actually be worth.
- SaaS Development Multi-tenant products built to be sold: billing, permissions, onboarding and the operational work that comes after launch.
- Vibe Coding Cleanup AI-generated codebases made safe to build on: audited, tested, refactored in slices, and handed back with guardrails.
11 FAQ
Frequently asked questions
The things teams ask before starting with us.
IT staff augmentation typically starts with engineers contributing inside your sprint within two weeks of the scoping call. They work in your tools, your standups and your review process, so onboarding looks like a new hire starting rather than a supplier being integrated.
Usually two weeks from agreeing the brief: a few days to shortlist and introduce, then onboarding runs in parallel with contracts. The two-week figure is to a first meaningful pull request, not to a start date.
You do, day to day, they are in your standups and your review process, taking work from your backlog. We handle employment, cover and a periodic check-in on how the fit is working, and we replace someone who is not right without a renegotiation.
We start with a short discovery call to clarify goals, constraints, and success metrics. Then we identify high-impact AI use cases, review your data and systems, and propose a phased roadmap with costs and risks attached to each phase.
Discovery runs 2 to 4 weeks, an MVP typically lands in 8 to 16 weeks of weekly-demo sprints, and operate is an ongoing arrangement with monitoring and support after launch.
Fixed-scope work is priced per milestone, dedicated teams are billed monthly per seat, and staff augmentation is weekly or monthly. You pick the model that fits and can switch between phases. There is a fuller breakdown of what moves the number on our AI development cost page.
You do. The full repository, documentation, and deployment transfer to you at every milestone, with no lock-in to us.
NDAs from day one, scoped access, and data residency decided at the architecture stage. We work within HIPAA, SOC 2, and similar requirements where they apply.
We monitor accuracy, cost, and uptime, run regression checks as models drift, and keep a defined escalation path with support so the system stays healthy after release.
12 Book a Call
Need capacity in your next sprint?
Tell us the skills and the shape of the gap. We come back with a shortlist, a ramp plan, and a start date.
- 2451 West Grapevine Mills Circle, Grapevine, TX 76051 · USA
- hello@kodertal.com
- Reply within 1 business day, 24/7 support once live