AI engineers and ML talent
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
For CTOs
AI and technical staffing for CTOs.
Build software, cloud, DevOps, AI and managed technical teams for CTOs who need more delivery capacity without lowering the engineering bar.
Start with the workforce problem, delivery gap or business outcome you need to solve.
CTOs usually care about delivery velocity, architecture risk, seniority, integration with the existing team and whether an external workforce creates more management overhead than it removes.
Software engineering teams
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Cloud, DevOps and SRE
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
AI evaluation and human feedback
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Dedicated engineering pods
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Choose one specialist, a dedicated team or a managed workforce.
Hire one specialist when one role needs a clear owner. Build a dedicated team when several people need to work together. Use a managed workforce when you want Baaraku to help coordinate recruiting, team operations and quality around a larger program.
How Baaraku scopes, builds and supports the team.
Baaraku serves U.S., European and selected Middle East companies while operating delivery capacity in Nigeria. The delivery model is agreed around the team size, working hours, security requirements and level of management you want Baaraku to provide.
Common questions before building the team.
How large can the team be?
The engagement model can range from one specialist to a large dedicated or managed team. Final scale depends on role availability, ramp timeline, task design, management structure and client requirements.
Can Baaraku support AI-specific workforce programs?
Yes. Baaraku’s AI Workforce practice covers human feedback, evaluation, data annotation, domain review, red teaming and multilingual quality programs scoped to the client methodology.
Do you publish fixed enterprise pricing?
No. Enterprise and managed-team pricing is scoped around role mix, size, schedule, security, supervision and quality requirements. For standardized roles, ask us whether a current starting rate is available.
Build the workforce the work requires.
Tell us the outcome, team size, working model and timeline. We’ll help you define the right specialist, technical team or managed workforce.