Tech team for hire
Your tech team just became a creative resource
Creative teams move fast - and when you need to scale quickly, KoobrikLabs brings the technical firepower to keep your projects flowing. Whether it’s building custom tools to support your pipeline, integrating AI into production workflows, or spinning up a full-stack team to ship an MVP, we embed experienced technologists who think creatively and deliver fast.
Flexible, scalable, and built to harmonize with your team’s rhythm; so you can focus on making, while we handle the technical lift.
Why choose an insourced resource?
Deadlines are tight. Tools are complex. And the brief changed yesterday.
When your internal team is at capacity, KoobrikLabs gives you immediate access to hands-on technical talent – without the overhead of hiring. We embed engineers who understand the nuances of creative production, align with your tools and timelines, and get to work from day one. No hand-holding. No culture clash. Just smart, flexible support that keeps momentum high.
How KoobrikLabs delivers value for you
Our model
Scoping
We shape the right setup with you - roles, team structure, and what success looks like.
Selection
You get consultants who match your needs, your tools, and your pace.
Harmonise
Our consultants are fully synced with your team, culture, and ways of working - fast.
Technical assurance
Every placement is supported by KoobrikLabs' internal technical leads.
Roles we provide
Role |
What they deliver |
|---|---|
| Data Engineers | Design, build and maintain high-performing, secure data platforms, including batch and streaming pipelines, lakehouse architectures, and ingestion services. |
| Data Scientists | Deliver actionable insights from complex datasets using statistical modelling, forecasting, and exploratory analytics. |
| Machine Learning Engineers | Train, test, deploy and scale machine learning models. |
| AI Engineers | Design and implement AI models such as LLM, RAG and cognitive services. |
| ML Ops Engineers | Monitor, version, and deploy ML models in production, manage experiment tracking, and maintain robust ML infrastructure to ensure reliability and performance. |
| Cloud Engineers | Design and implement secure, scalable, and cost-efficient cloud, multi-cloud or on-prem systems across AWS, Azure, and GCP. |
| DevOps Engineers | Automate infrastructure, enforce secure CI/CD practices, manage infrastructure-as-code, and build observability tooling. |
| Software Engineers | Design and build reliable, maintainable applications and APIs using modern frameworks and engineering practices. |
| Project Managers | Enable high-performing teams, manage projects like clockwork and align delivery to strategic goals. |
Talk to KoobrikLabs
Learn more about KoobrikLabs' Technical Team Augmentation
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