THE PROBLEM
Most AI initiatives don't fail at the model. They fail at the engineering around it.
We've rescued enough stalled AI roadmaps to know the pattern. It is rarely the model.
01
The demo-to-production gap
The prototype impressed the board in March. It still isn't in customers' hands in September, because nobody owned the path from notebook to production.
02
Unmeasured model behavior
Prompt changes ship on instinct. Nobody can say whether last week made the product better or worse, until a customer does.
03
Velocity without ownership
Vendors bill hours and close tickets. But AI systems need someone accountable for behavior in production, long after the ticket is closed.
WHAT WE BELIEVE
AI accelerates execution. Senior judgment is the control system.
"We measure success by outcomes, not hours. If it didn't ship, it doesn't count."
Every Devlyn engineer works AI-native by default, evals before opinions, agents with guardrails, cost per successful task as a first-class metric. AI accelerates the safe parts of the work; senior engineers own the architecture, the trade-offs, and everything that touches production.
That's why we don't sell generic "developers." We built a bench of 150+ engineers around nine distinct production roles, and put a senior review behind every line that ships, at every level.
THE SYSTEM
One bench. Nine production roles.
From data foundations and predictive decisions to model behavior, product delivery, infrastructure, and security, each role owns a different production boundary.
EMBED
Forward-Deployed Engineer
Ships from inside your business and owns the last mile where AI projects usually die.
Role & pricing →
DECIDE
Data Scientist
Forecasting, experimentation, recommendations, and predictive models tied to business decisions.
Role & pricing →
FOUNDATION
Data Engineer
Reliable pipelines, lakehouse architecture, streaming, and data quality for analytics and AI.
Role & pricing →
BEHAVIOR
LLM Engineer
Prompts, RAG, evals, and structured outputs that survive production, not just the demo.
Role & pricing →
BUILD
Agentic Workflow Engineer
Agents that finish jobs, with guardrails, approvals, and audit trails.
Role & pricing →
BUILD
AI Application Engineer
Full-stack product engineering that makes AI feel instant and trustworthy.
Role & pricing →
RUN
MLOps Engineer
Turns models and pipelines into boring, reliable, reproducible infrastructure.
Role & pricing →
RUN
AI Infrastructure Engineer
Gateways, GPUs, vector stores, and failover, the platform under your AI.
Role & pricing →
TRUST
AI Security Engineer
Prompt injection, data boundaries, tool permissions, provably inside the lines.
Role & pricing →
WAYS OF WORKING
Engage the way your roadmap demands.
Dedicated monthly or hourly Time & Material, every rate is published by role and level on its role page, and every dedicated hire starts with a paid one-week trial.
MOST COMMON
Dedicated Engineer
A full-time engineer embedded in your team, billed monthly. Starts with a paid one-week trial before the month-to-month engagement continues.
MONTHLY · PAID ONE-WEEK TRIAL
FLEXIBLE SCOPE
Time & Material
Hourly engagement for work that ebbs and flows, audits, hardening sprints, or capacity you scale week to week. Tracked transparently, billed on actuals.
HOURLY · SCALE ANY WEEK
FOR BIGGER SURFACES
Senior Pod
Two to four engineers with a senior lead who owns delivery end to end, for whole workstreams, rescues, or products built from zero.
2-4 ENGINEERS + LEAD
LOWEST RISK
Try-Then-Hire
Start on a short trial engagement, convert to dedicated when the evidence convinces you. If it doesn't, walk away clean, and keep the work.
CONVERT WHEN CONFIDENT
THE PROOF
Devlyn is new. The delivery engine behind it isn't.
The numbers below come from a decade of shipped systems at ViitorCloud, not from projections.
150+
Engineers on the Devlyn bench today
500+
Organizations served through ViitorCloud, from startups to KPMG, DP World, and Adani
$46M
Revenue generated through one client's platform alone
48h
From discovery call to a shortlist of matched engineers
THE PROCESS
From first call to committed code, in one week.
No three-week proposals, no bench-clearing. Five steps built to produce evidence fast, and to let you walk away free at the exact moment most vendors lock you in.
DAY 0
The discovery call
Thirty minutes with an engineering lead, never a salesperson. We talk through your stack, where the system hurts, and what a successful quarter looks like, then map it to the role and level that actually fixes it.
YOU LEAVE WITH: A ROLE RECOMMENDATION + LEVEL + BOTH RATES
WITHIN 48H
2-3 profiles within 48 hours
We match from a bench of 150+ engineers, against your system's actual risk, not resume keywords. You interview every candidate yourself, with scenarios we help you design. Nothing proceeds without your yes.
YOU LEAVE WITH: 2-3 INTERVIEW-READY ENGINEERS
DAYS 1-5
The paid one-week trial
NDA signed, access scoped, and the engineer joins your standup, working your real backlog in your real repo. You judge pull requests, eval results, traces, and communication before the month-to-month engagement continues.
YOU LEAVE WITH: EVIDENCE, FIT SIGNAL, AND A CLEAN NEXT DECISION
WEEK 2+
The delivery rhythm
Weekly demos with visible progress. A Devlyn senior reviews everything that ships, at every level. Choose monthly dedicated or hourly Time & Material, and switch between them as your roadmap changes shape.
YOU GET: OUTCOMES MEASURED WEEKLY, NOT HOURS LOGGED
ANYTIME
Scale, swap, or exit, cleanly
Add roles as your surface area grows, request a free replacement when the fit is wrong, or transition the work back in-house with complete documentation. No lock-in contract, a partner who’s easy to leave is the one you keep.
FREE REPLACEMENT · ZERO LOCK-IN · DOCUMENTED HANDOVER
FAQ
What CTOs ask us first.
Straight answers, before you even book the call.
How fast can an engineer actually start?+
After the 30-minute discovery call, Devlyn sends 2-3 vetted profiles within 48 hours. Start date depends on interviews, access, NDA, and the paid one-week trial scope.
How does the paid one-week trial work?+
Before the month-to-month engagement continues, the engineer works for one paid week in your real codebase or approved data environment. You judge pull requests, evals, communication, and fit before scaling the role.
Do you work monthly, hourly, or both?+
Both. Dedicated engineers are billed monthly; Time & Material engagements are billed hourly on tracked actuals. Each role page lists both rates by seniority level, so you can choose the model that fits the work.
What happens if the engineer isn't the right fit?+
Devlyn provides a free replacement when the engineer is not the right fit. The replacement inherits context through a documented handover, so your roadmap does not pay for a second sourcing cycle.
How is our code, data, and IP protected?+
NDA and IP assignment are signed before onboarding. Access is scoped to what the engagement needs, everything produced belongs to you, including trial work, and AI tools are used within your security rules, never fed your data casually.
Will they work in our timezone?+
Yes. Every engagement is planned with overlap windows for US, UK, European, and Australian teams, standups, reviews, and incident response happen inside your working hours, in English, every time.