TechClues

Staff augmentationOur engineers and AI team, inside yours.

From the first day, vetted engineers and AI specialists sit within your team, so architectural choices and lessons from production stay in your organisation.

Products delivered
200+Products delivered
Successful jobs
280+Successful jobs
Projects shipped
25+Projects shipped
Team members
20+Team members

Main challenges

Where recruitment holds back delivery.

Hiring timeline

Months to fill one seat

A full-time hiring cycle runs 8 to 12 weeks before anyone writes a line of code.

Skill gap

The specialist you cannot find

One niche platform or AI and ML hire can stall a roadmap, and that talent is scarce.

IP ownership

Unclear who owns the work

Loose vendor terms leave code, models, and pipelines without a clean ownership claim.

Bench risk

Capacity you carry year round

Scaling a team for one project means paying for that headcount long after it ships.

How we operate

Your team, never a separate one.

Our TechClues engineers and AI specialists slot into your current team structure, work with your tools and follow your process, rather than operating as a separate vendor team alongside.

Lessons from production, architectural choices, and model and data context remain with your organisation rather than walking out with an outside team. The roadmap, code and IP stay fully under your control; sourcing, vetting and employment are our job.

What you keep

  • The roadmap
  • The code and the IP
  • Production learning
  • Architectural decisions
  • Model and data context
  • Day-to-day management
  • Release cadence
  • Team structure

Capabilities

Roles you can bring in, and how they fit.

AI Engineers and ML Specialists

Model fine-tuning, deployment and MLOps, built into your own AI roadmap instead of split off as a separate stream of work.

  • Fine-tuning and evaluation run on your own data
  • Deployment and MLOps within the pipelines you already have
  • Your team keeps the model and data knowledge
  • Follows your AI roadmap rather than a parallel one
Speak with us about this role

Fine-tune run

Base modelloaded
Your data12.4k rows
Eval harnessrunning

Eval score

+18pts

vs base model

Deployed to

  • your MLOps pipeline
  • your model registry
  • your monitoring

Collaboration options

Pick the location for your team.

Get in touch
01Nearshore

Nearshore Delivery

Engineers in aligned time zones for near real-time overlap with your team's working hours.

Best for close collaboration without full onshore cost

02Onshore

Onshore Delivery

Engineers based in your own region for direct, same-time-zone collaboration and on-site availability.

Best for regulated or client-facing engagements

03Offshore

Offshore Delivery

Engineers operating from our global delivery centres as a dedicated, cost-efficient extension of your team.

Best for scaling capacity cost-effectively

Process

From vacant seat to engineer shipping code.

  1. 01

    Scope the Gap

    Define the exact skill, seniority, and time commitment needed.

  2. 02

    Match and Vet

    Candidates matched from our engineer pool, vetted for the role, shared with you for final approval.

  3. 03

    Onboard and Integrate

    Engineer joins your tools, sprints, and stand-ups directly.

  4. 04

    Scale as Needed

    Add, reduce, or swap capacity as your roadmap changes.

FAQs

Common questions answered.

Still wondering about vetting, timelines, or who ends up owning what we build?

Get in touch
  • You keep full ownership of the roadmap and management; we add engineering capacity into your existing team rather than taking over delivery.

Begin here

Tell us which role you need to fill.

Scoping the role takes just one conversation. You review profiles matched to it, instead of a generic bench list.

  • Bring the skill gap or headcount you need filled
  • One conversation to scope seniority, stack, and timeline
  • Matched candidates within days, not weeks

Your privacy matters to us. See how we look after your data in our Privacy Policy.