AI-NATIVE STAFFING | PART OF VIITOR CLOUD

Hire the AI engineer your roadmap actually needs.

Eight production AI roles, each matched to one dedicated engineer with clear ownership. Start with a 30-minute role scope, get a short vetted list within 48 hours, then judge real work in your codebase during a paid trial.

Book a 30-minute discovery call See the 8 roles
devlyn - spec.json
starting_rate$2,500/mo
shortlist2-3 vetted
time_to_shortlist48 hours
trial2 weeks | paid
replacementincluded

// TRUSTED BY GLOBAL ENTERPRISES

Names that already trust the bench behind Devlyn.

Enterprise delivery proof

The same bench has worked in enterprise delivery environments; Devlyn adds AI-role vetting and dedicated ownership on top.

// 01 - THE PROBLEM

AI hiring fails when the role is too vague.

"AI engineer" can mean product integration, RAG, evals, agent workflows, platform infrastructure, model operations, security or decision science. Those are different jobs. If the role is not precise, the shortlist looks busy but nobody owns the real work.

Devlyn starts by narrowing the work. We map the workflow, stack, production risk and first deliverables, then match against eight defined AI-native roles. The buyer sees fewer names, but each one is there for a reason.

That matters once the engineer joins. A RAG hire should improve retrieval quality. An agentic workflow hire should control tool execution and handoffs. A platform hire should lower latency and make model changes safer. The role page tells you what that person owns before you book the call.

08

Defined AI roles, each with its own ownership model and hiring page.

48h

Typical time from role scope to a two or three person shortlist.

2 wks

Paid trial in your actual repo, so the decision is based on shipped work.

// 02 - THE ROLES

Eight roles. Every one built for the AI stack.

No generalist bench. No design, finance or PM filler. Each page is one clear role, one ownership model, and one dedicated engineer you can hire.

FDE-01 starts $2,500/mo

Forward-Deployed AI Engineer

Embeds in your team and ships AI features in your codebase - not slideware.

View role
APP-02 starts $2,500/mo

AI Application Engineer

Builds the product layer on top of LLMs - streaming UIs, tool calls, the works.

View role
LLM-03 starts $2,500/mo

LLM Engineer

Owns the model layer - fine-tuning, evals, routing and inference cost.

View role
RAG-04 starts $2,500/mo

RAG & Context Engineer

Makes models answer from your data, accurately, without hallucinating.

View role
AGT-05 starts $2,500/mo

Agentic Workflow Engineer

Builds multi-step agents that use tools and survive contact with production.

View role
PLT-06 starts $2,500/mo

AI Platform Engineer

Owns the infra under your AI - serving, gateways, GPUs and MLOps.

View role
SEC-07 starts $2,500/mo

AI Security Engineer

Defends your AI from prompt injection, leakage and model abuse.

View role
DSC-08 starts $2,500/mo

Data Scientist

Turns your data into decisions - experimentation, models and clear answers.

View role

// 03 - THE VALUE

What a Devlyn hire is accountable for.

The value is not a bigger candidate pool. It is a clearer role, a shorter shortlist, and a trial that proves whether the engineer can move your actual roadmap.

BUYER NEEDDEVLYN COMMITMENTWHAT YOU REVIEWWHEN
Role clarity Scope the AI workflow, stack, risk and first deliverables before matching. A short role brief and matching rationale for each profile. Call + 48h
AI-native vetting Screen for evals, retrieval, agents, cost, failure modes and production judgment. Two or three engineers already filtered for the role, not a long resume dump. 48h
Proof in your repo Run the trial inside your rituals, issues, codebase and communication loop. Actual pull requests, shipped workflow progress and fit with your team. 2 weeks

Pricing is shown on each role page. This section explains what the engagement must prove before you continue.

// 04 - ROLE RATES

Each role page carries the rate for that hire.

Budget certainty per role

A Data Scientist, RAG Engineer and AI Security Engineer do not sell the same work, so each role carries the actual rate for that hire. No hidden tier table, and no quote that changes after the brief.

The level follows the work

Junior, mid and senior levels exist for different ownership needs. The actual number belongs to the role, because the work, autonomy and risk profile are different.

Dedicated, not divided

A Devlyn role means one engineer dedicated to your team full-time, living in your codebase, standups and Slack so context compounds instead of resetting every week.

// 05 - HOW IT WORKS

From brief to embedded in four steps.

Full process
01

Discovery call

Tell us the role and stack on a 30-minute discovery call. No forms farm.

02

Shortlist

Two to three pre-vetted AI engineers, within 48 hours.

03

Trial

Two paid weeks in your codebase. Not satisfied no charge.

04

Embed

Start month to month at the role level that fits the work. Scale anytime.

// 06 - ANSWERS

Straight answers for buyers and answer engines.

Every key claim below is written as a self-contained answer: what Devlyn is, who it is for, and why the price is safe. That helps a human buyer scan quickly and gives search systems clean passages to cite.

What is Devlyn?

Devlyn is a focused AI staffing brand from Viitor Cloud that places dedicated AI-native engineers across eight defined roles. Every role has published pricing, a two-week paid trial, free replacement, and month-to-month engagement terms.

Who should use Devlyn?

Use Devlyn when the role is specifically about production AI work: LLM features, retrieval, agents, model evaluation, AI platform reliability, AI security or decision science. The service is intentionally narrow, so the shortlist is built around the exact work the engineer must own.

What makes the offer buyer-safe?

The buyer sees role pricing before the 30-minute discovery call, gets a shortlist within 48 hours, tests the engineer in the real codebase for two paid weeks, and can request a free replacement for any reason. That removes hidden scope, long matching cycles and one-shot hiring risk.

// 07 - FAQ

Questions teams ask before they hire.

What kind of AI hire is Devlyn best for?

Use Devlyn when the work needs a dedicated engineer for production AI: LLM features, retrieval, agents, evals, AI platform reliability, AI security or decision science. We narrow the role first, then match against engineers vetted for that specific ownership model.

How does pricing work?

Each hire page shows the starting rate and seniority ladder for that role. Junior, mid and senior levels are priced separately so the buyer can match budget to the judgment, autonomy and risk profile the work actually needs.

Monthly or hourly - which should I choose?

Go monthly for a full-time, dedicated engineer embedded in your team; it is the better value for ongoing work. Choose hourly when the work is flexible or part-time and you would rather pay for exactly the hours you use.

What does "AI-native" actually mean here?

It means every engineer has shipped real LLM features to real users and can prove it - with evals, cost awareness and production experience in their specialism. We screen for the AI stack specifically, not a generic coding test, and we reject most candidates who only look the part on paper.

How fast can someone start?

You get a shortlist of two to three vetted engineers within 48 hours of the brief. From there, most teams move into a paid two-week trial within days - because the vetting already happened, there is no multi-week matching cycle.

What if the engineer is not a fit?

Every engagement starts with a paid two-week trial in your own codebase. If it is not working, you pay nothing further and we start again. The free-replacement guarantee then lasts for the life of the engagement - not just the trial.

Who is behind Devlyn?

Devlyn is the dedicated AI-staffing arm of Viitor Cloud, an AI-first engineering firm that has delivered software and platforms for 500+ teams worldwide, from KPMG to DP World. You are hiring from that same bench and the same vetting bar.

Tell us the role. We'll send the shortlist in 48 hours.

Use the call to scope the role, confirm the first workflow, and decide whether the shortlist should move into a paid trial.

Book a 30-minute discovery call