Your team sets the technical direction.
Share the stack, context, standards, and way of working. The specialist joins the work you already own.
For technical teams that need more capacity
Dedicated engineers. Built around your team.
Bring in engineering and data talent for work under your technical direction. Choose hourly or project-duration engagement, then match the stack, experience, timezone overlap, and responsibilities before you decide.
You interview first. Xerostaff supports ongoing training, payroll, and people management while your team owns the technical priorities.
Engineering & data talent
Technical capacity that stays close to your roadmap.
Dedicated staff work under your technical direction. This is not a fixed-scope delivery team or a black-box build partner.
Hourly or project duration.
Choose the working pattern that fits the scope, hours, and team context.
Interview and match before you decide.
Talk through experience, timezone overlap, responsibilities, and availability before agreeing the fit.
Areas to explore
Start with the technical work. Then shape the match.
Specialisms depend on current availability and the experience, stack, and working pattern your team needs.
AI engineers
Dedicated engineering capacity for teams building AI-shaped products, workflows, or internal tools under their own technical direction.
Match the engineering brief to the tools and review process.
Databricks engineers
Support for data platform work where your team sets the architecture, delivery context, and standards of practice.
Check platform experience, handoffs, and timezone overlap.
Data scientists
Bring in a data specialist for analysis, experimentation, modelling, or decision support shaped around your team’s needs.
Keep the question, assumptions, and interpretation visible.
Data architects
Explore architecture support for teams clarifying data flows, platforms, governance, and the next useful technical decision.
Align the conversation to your existing constraints and roadmap.
Cloud engineers & architects
Dedicated capacity for cloud-focused work under your security, infrastructure, and operational direction.
Match the specialist to the environment and responsibility level.
AI/ML specialists
Support for teams exploring machine learning workflows, evaluation, implementation, and the practical details around them.
Ask what the work needs before choosing the tool.
Python developers
Dedicated Python development capacity for the code, automation, services, or data work your team needs covered.
Review the brief, code context, and next handoff together.
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Other stacks on request.
If your team needs another current technology or a more specific blend of skills, tell us about it. We’ll discuss the match subject to availability.
Specialist availability varies.
A clear working relationship
Your technical direction. Our managed support.
We help set up the match and support the person. Your team stays close to the work and decisions.
The support is dedicated. The direction stays with you.
Share the brief, stack, working pattern, and handoffs. The engineer or data specialist works inside the context you provide, with responsibilities agreed before the engagement begins.
Clientled
work
01
Match the work
Brief
Start with the stack, role, experience, and responsibilities.
Question
What should this person own, support, or learn first?
02
Work alongside your team
Direction
Set the technical priorities, standards, and review rhythm.
Handoff
Keep context, decisions, and open questions visible.
03
Keep people support covered
Xerostaff
We handle ongoing training, payroll, and people management.
Your team
You set priorities and decide what happens next.
The fit conversation
Good technical support starts before the first task.
We’ll help you meet specialists whose experience fits your requirements.
01 / interview
Meet the person before you decide.
Use the conversation to understand communication, experience, and the way they approach the work.
02 / match
Compare the stack and context.
Discuss the tools, responsibilities, technical direction, and timezone overlap that matter to your team.
03 / choose
Agree the working pattern.
Shape an hourly or project-duration engagement around the capacity you actually need.
04 / support
Keep the relationship supported.
Xerostaff handles ongoing training, payroll, and people support while you lead the work.
Subject to availability. Tell us the current technology, experience, and working pattern you need. We’ll discuss what may be possible.
Built for your directionFull-time, part-time, or project duration
Need a different blend of skills? Start with the brief.
AI engineers, Databricks engineers, data scientists, data architects, cloud engineers and architects, AI/ML specialists, and Python developers are examples of the technical talent we can discuss.
Other stacks and newer technologies can be explored on request, subject to availability. We’ll discuss fit, availability, and pricing in conversation.
Ready to talk through the work?
Find your specialist