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"We need an AI developer" is a fine place to start.

You don't need to know the exact specialization to get moving. For 10+ years we've placed engineers with 70+ businesses — including AI developers who build real LLM-powered features: search over your data, chat interfaces, content generation, and everything that connects them to your product.

★★★★★ 4.9/5 from 70+ clients 10+ YEARS 2,500+ PROJECTS
Sound Familiar?

Wanting AI in your product is easy. Shipping it is not.

These are the problems teams hit trying to add real AI features.

You know you need "AI" but aren't sure what specialization to hire for.

Your prototype AI feature hallucinates or gives inconsistent answers.

No one on your team has actually shipped LLM features to real users.

API costs are unpredictable and no one's optimizing usage.

Competitors are shipping AI features and your roadmap is behind.

A rushed AI feature that embarrasses you is worse than none at all.

You don't need to have the specialization figured out — we scope it with you. We place AI developers who ship features that actually work in production.

Who This Is For

Built for teams starting their AI roadmap.

If "we need AI" is where you are right now, this is for you.

Product teams adding a first AI feature

You have a clear idea — search, chat, generation — but no one to build it right.

Founders exploring AI direction

You're not sure exactly what to build yet and want a technical partner to figure it out with.

Existing teams needing AI depth

Your engineers are strong generalists but don't have deep LLM experience yet.

How We Fix It

From idea to shipped feature.

Each problem above maps to how we staff. Here's how we fix it.

Fixes: not sure what to hire for

We Help Scope It

On the talent call, we help define what to build and match the right specialization.

Fixes: hallucinating features

Grounded, Reliable Output

Retrieval and prompt design grounded in your real data, not open-ended guessing.

Fixes: never shipped to real users

Production-Proven

Engineers who've taken LLM features from prototype to real, paying users.

Fixes: unpredictable API costs

Cost-Aware Builds

Model choice and usage patterns designed with cost in mind, not as an afterthought.

Fixes: falling behind

Fast to First Feature

We get a first useful AI feature live quickly, then iterate from real feedback.

Fixes: risk of shipping badly

Quality Before Launch

Evaluation and testing before a feature reaches real customers, not after.

Why CrecenTech

We build AI products ourselves.

We're not staffing theory — we build AI-powered software for our own operations and clients every day. For 10+ years and 70+ clients, that experience is exactly what we vet candidates against, so the person you hire has shipped real features, not just experimented with an API.

Book a Talent Call →
We ship AI products. Real production experience, not just API demos.
We help scope, not just staff. You don't need the spec figured out first.
Cost-conscious. Builds designed with usage economics in mind.
Flexible terms. Contract, contract-to-hire or project-based.
10+ years, 70+ clients. Proven technical staffing across industries.
The Honest Comparison

DIY it, hire a generalist, or match with us.

The same AI feature, three very different outcomes.

DIY In-House
On your own
Scoping the right build
Months of trial and error to find fit
Reliable output
Hallucinations and inconsistency
Cost management
Surprise API bills
Time to launch
Slips while your team learns the space
Generalist Freelancer
Typical hire
Scoping the right build
Builds whatever they're told, no strategy
Reliable output
Works in the demo, unreliable at scale
Cost management
Rarely optimized
Time to launch
Fast, but quality untested
Recommended
CrecenTech
Scoping the right build
We help scope what's worth building
Reliable output
Grounded in your real data
Cost management
Designed with usage costs in mind
Time to launch
Fast, tested, ready for real users
How It Works

From idea to live feature.

01

Talent Call

We help you scope the AI feature and specialization needed.

02

Match

We shortlist an AI developer fit for your goal and stack.

03

Build & Test

They build the feature and validate it before launch.

04

Launch & Iterate

The feature ships, and we improve it from real usage data.

What You Get

Everything in this placement

LLM feature scoping & build
Grounded, tested output
Shortlist in days
Contract or contract-to-hire
Cost-aware architecture
Replacement guarantee
★★★★★

CrecenTech is the engine that drives our success from start to finish. They communicate effectively and always look for ways to innovate and deliver better.

CH
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AI-Fluent Engineering · CrecenTech client
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Before You Ask

Questions we hear a lot.

We're not sure exactly what kind of AI developer we need — is that OK?+

Yes, that's normal. On the talent call we scope your goal and match the right specialization — whether that's a generalist AI developer or a more specific skill like agents or MLOps.

What can an AI developer actually build for us?+

LLM-powered features — search and Q&A over your data (RAG), chat interfaces, content generation, classification — integrated into your product or internal tools.

Do we need our own data infrastructure first?+

Not necessarily. Many engagements start by getting a first useful feature live, then improving the underlying data and infrastructure as it proves value.

How fast can someone start?+

We match from an existing vetted pool, so you're typically interviewing within days and can have someone contributing shortly after.

Contract or contract-to-hire?+

Both. Many clients start on contract to prove fit on real work, then convert strong performers to permanent.

Start your AI roadmap this week.

Book a talent call — we'll help scope your first AI feature and match the right developer.