Owns the loop
Prompts, pipelines, evals and guardrails maintained as production assets, with human-in-the-loop where it matters.
AI OPERATOR · A CONECTIA MODEL
Hire AI Operators
AI tools don't run themselves. An AI Operator owns your agents and automations in production — output, cost and safety — so your team ships.
WHY CONECTIA
What an AI Operator actually does
Between “we bought AI tools” and “AI moves our metrics” there is an operating role most companies haven't staffed. We defined it — and staff it.
Measured output
Weekly reporting on automation coverage, cost per task and error rates — AI as an operated system, not an experiment.
Compliance-aware
EU AI Act obligations mapped and covered as part of the operating routine, with audit trails by default.
3%of candidates pass CTO vetting
72hto a vetted match
7+years average experience
PROCESS · 72 HOURS
From discovery call to working engineer
No self-serve marketplace, no CV roulette: a CTO scopes the role with you and matches from a bench that already passed the hard filter.
Discovery with a CTO
Thirty minutes on your stack, constraints and definition of done — with an engineer, not a salesperson.
Bench match
We match against vetted seniors only. If the fit is not there, we say so instead of stretching a profile.
Match in 72 hours
The person for your context, with real code and architecture assessments attached — interviews optional, not mandatory.
14-day Pilot Sprint
Judge working output on your repo before any long-term commitment. Zero-risk by design.
AI OperatorAgent opsAutomationEvals & guardrailsHuman-in-the-loop
DEPLOYMENT · THE FULL ARC
Staffing ends at the match. Deployment ends at the handover.
Marketplaces optimize the moment you accept a profile; everything after is yours to run. Every Conectia engineer ships with the full arc around them — not as a premium tier, but as the only way we place anyone.
Find
CTO-designed vetting passes 3% of candidates — and we present the person for your context, not a stack of CVs to interview through.
72h matchDeploy
Onboarding prepared before day one: access, context, the first week planned. A delivery manager runs the engagement end to end when the project calls for it.
Day-one planSustain
Check-ins every week — daily when the phase demands it — with you and with the engineer. Wrong fit? A substitute within 7 days, inside the 30-day guarantee, at no added cost.
7-day replacementHand over
The ending is a deliverable: full documentation, working accounts handed over, and a safe delete of corporate content — every credential accounted for.
Safe deleteRATES · ONE INVOICE
26–71% below an equivalent local hire
Location-based rates with everything included — you compare a single number against your local cost, not a fee maze.
- A single flat rate — compliance, payroll and EOR included
- Zero recruiting fees; 30-day replacement guarantee
- Start with a 14-day Pilot Sprint and judge the output, not the CV
FAQ
What CTOs and founders ask us
What is an AI Operator?
An engineer who runs AI systems in production the way an SRE runs infrastructure: owning agents, automations, evaluations, guardrails and cost — with measurable output.
How is an AI Operator different from an ML engineer?
An ML engineer builds models and systems; an AI Operator operates them — monitoring quality, handling drift and exceptions, and turning tools into reliable workflows.
What do they operate day to day?
Agent pipelines, LLM-backed automations, prompt and eval suites, escalation rules and cost budgets — across the tools your team already uses.
How do you measure an AI Operator's impact?
Automation coverage, cost per task, error and escalation rates, and time returned to the team — reported weekly against an agreed baseline.
How do we engage one?
Like any Conectia role: discovery call with a CTO, a matched operator from the vetted bench, and a 14-day Pilot Sprint to prove value.
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