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Developer workstation with code on screen in a dimly lit room

Ship your roadmap without stretching your team.

Developers working within your team’s workflow.

Professional support, by sector

QA, technical support, data operations, AI training and implementation.

  • Front-End Developers
  • Back-End Developers
  • Full-Stack Developers
  • QA and Test Engineers
Symptoms

Sound familiar?

The bottlenecks we hear most often in Technology & AI.

01Regression testing squeezed into release week
02Tier-1 tickets pulling engineers off roadmap
03Data pipelines with no one monitoring them
04Documentation permanently out of date
What we understand

How Technology & AI work actually breaks.

01

Regression testing is capacity

Release quality is usually limited by hours available to test, not by test design.

02

Tier-1 pulls engineers off roadmap

A trained support layer keeps interrupt-driven work away from the people building the product.

03

Documentation decays without an owner

Someone has to own runbooks and release notes. It is a real role, not a side task.

What they take over

Day-to-day scope.

Execute regression suites every release
Triage and resolve tier-1 tickets
Monitor pipelines and investigate failures
Maintain runbooks, help centre and release notes
Reproduce, document and file defects
Roles

Popular roles we staff.

Each is recruited against a written scope, tested on the relevant software, and interviewed in person before you see a résumé.

QA & Support

  • Software QA Tester
  • Technical Support Specialist
  • IT Support Specialist

Data & AI Operations

  • Data Analyst
  • Data Operations Specialist
  • AI Data Specialist
  • AI Training Specialist
  • Data Annotation Specialist

Documentation & Implementation

  • Technical Documentation Specialist
  • Implementation Specialist
Software they work in
JiraZendeskGitHubLinearPostman
Technology & AI 2 days to a shortlist for most roles in this sector.

Highly specific positions, such as niche software, licensing or deep sector experience, can take up to five business days.

Technology & AI FAQ

Answers specific to your sector.

How technical are these professionals?
Computer science, IT and engineering graduates are the norm for these roles, and we test with a practical exercise relevant to your stack before shortlisting.
How is source code access handled?
Through your own systems with least-privilege access, on managed devices, under signed confidentiality agreements. Many clients scope read-only or sandbox access first.
Can they join our standups?
Yes. They work your business hours and participate in your rituals and tooling alongside the appropriate members of your team.
Technology & AI

Want this scoped for your Technology & AI team?

Your questionnaire opens with this industry already selected.

Sound Familiar?

You recognized one of these.

Regression testing squeezed into release week.
Tier-1 tickets pulling engineers off the roadmap.
Data pipelines with no one monitoring them.
Documentation permanently out of date.

None of it needs your most expensive person.
All of it needs someone reliable.

What We Understand

How Technology & AI work actually breaks.

01

Regression testing is capacity

Release quality is usually limited by hours available to test, not by test design.

02

Tier-1 pulls engineers off the roadmap

A trained support layer keeps interrupt-driven work away from the people building the product.

03

Documentation decays without an owner

Someone has to own runbooks and release notes. It is a real seat, not a side task.

Our Experience With AI

We build and run technology ourselves.

We don’t just place technology professionals. We build and operate technology ourselves, and it shapes how every engagement runs.

01

We build and run our own platforms

Bota’s HR, recruiting, sales pipeline, and marketing systems are built in-house and run in production every day: web portals, secure document flows, e-signatures, automated invoicing, and notifications, all on modern serverless infrastructure.

02

Hybrid AI, by design

AI is part of our daily operation, not a demo. LLM-assisted workflows handle drafting, classification, data extraction, and follow-up, and a person reviews what matters before it moves. That hybrid model, intelligent systems with human judgment, is exactly what we bring to client engagements.

03

We build for clients too

Websites and landing funnels, client portals, workflow automation, and custom tools. From an AI-readiness conversation to a working product, with clear implementation and accountability.

LLM integration, Claude & OpenAI APIs Serverless platforms, Cloudflare Workers Web apps & client portals Cross-platform mobile apps Workflow automation AI with human review
Call Start Building Your Team →