New perspective · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requires→
Optivaco
Capabilities / Talent / AI & Engineering Talent

AI & Engineering Talent

Vetted AI, data, cloud, and platform engineers, deployed in weeks and reviewed by practicing engineers.

01 — The problem

The engineers who can do this work are scarce. Keyword screens do not find them, and most roadmaps cannot wait two quarters for a hire.

Slow hiringRoles stay open for months while the program plan assumes a full team.
Shallow vettingRésumés list the right tools; the build exercise tells a different story.
Unbalanced teamsMachine learning hires arrive with no data engineers or platform owners beside them.
02 — What we deliver

What we deliver.

01AI & ML engineersEngineers who have shipped models and agents, not only trained them.
02Data engineersPipeline, platform, and modeling specialists for modern data stacks.
03Cloud & platform engineersInfrastructure, DevOps, and reliability engineers across the major clouds.
04Enterprise platform specialistsSAP, Salesforce, ServiceNow, and Oracle architects and developers.
05Specialized vettingA hands-on build exercise and system design review for every candidate.
06Flexible engagementContract, contract-to-hire, or direct placement — onshore, nearshore, or offshore.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
06 — FAQ

We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.

AI & Engineering Talent

Tell us the role you can’t fill.

We’ll come back with a shortlist, not a job description.