About Devlyn
One staffing brand. Eight AI roles. No generalist bench.
Devlyn is the dedicated AI-staffing arm of Viitor Cloud, built for product teams that need production AI engineers with precise ownership, public pricing, and a trial based on real work.
Why Devlyn exists.
AI hiring fails when “AI engineer” is treated as one generic role. Devlyn narrows the work into eight production roles and proves fit in the buyer’s codebase before month-to-month continuation.
Why eight
Eight roles because production AI has distinct failure modes.
Retrieval, model behavior, product UX, agent workflows, platform reliability, security, data science, and ambiguous rollout ownership are not interchangeable. Each needs different vetting and different first proof.
Forward-Deployed AI Engineer
Workflow discovery, stakeholder translation, production feature slice, rollout.
APPAI Application Engineer
Streaming UI, tool-call UX, app integration, fallbacks.
LLMLLM Engineer
Evals, model comparison, routing, prompt/version strategy.
RAGRAG & Context Engineer
Ingestion, chunking, retrieval, reranking, grounding, citations.
AGTAgentic Workflow Engineer
Agent graph, tools, permissions, memory, traces, fallbacks.
PLTAI Platform Engineer
Model gateway, eval hub, observability, cost controls, shared SDKs.
SECAI Security Engineer
Threat modeling, prompt injection tests, permissions, data exposure review.
DSCData Scientist
Metric design, analysis, experiments, forecasting, decision memos.
Viitor Cloud backing
Enterprise delivery culture, packaged as focused AI staffing.
Devlyn is distinct from broader Viitor Cloud services. The commercial product is intentionally narrow: one dedicated AI-native engineer, matched to one role, with transparent pricing and paid trial proof.
What we refuse to sell
Focus is part of the product.
- Generic candidate dumps
- Vague “AI engineer” shortlists
- Hidden pricing
- Long lock-ins
- Services disguised as staffing
Operating principles
Buyer-safe by design.
The model is designed to reduce uncertainty before the buyer commits.
Role clarity
Name the work before naming candidates.
AI-native vetting
Screen for the failure modes the role will own.
Trial proof
Judge real work in the buyer’s environment.
Transparent pricing
Show the monthly ladder before the call.