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AI demos are easy. Production-grade AI systems are not.

Most agencies send you prompt engineers who can build a chatbot. We place AI Systems Engineers who architect RAG pipelines, optimize token economics, and ship autonomous agents that don't hallucinate in production.

★★★★★ 4.9/5 from 70+ clients 10+ YEARS 2,500+ PROJECTS
SOUND FAMILIAR?

Why most "AI hires" fail after 3 months.

These are the problems teams run into when they try to build AI without the right specialist.

They know LangChain basics but can't handle concurrency, rate limits, or fallback logic.

No one monitored context window usage; your AWS bill tripled in week two.

They built it, but have no framework to measure if it's actually getting better.

AI costs are harder to predict than expected.

Tightly coupled to one model provider; migration takes months when APIs change.

They can build a demo, but struggle to turn it into a reliable, scalable production system.

Who This Is For

Built for teams ready to move from AI ideas to real products.

If you know AI can improve your product but need the right technical expertise to build it, this is for you.

Compliance-Sensitive Enterprises

You need audit trails, PII redaction, and deterministic outputs, not just "cool AI."

Scale-Ups Post-Prototype

Your MVP works, but latency is 4s and costs are $5k/mo. You need optimization, not new features.

Product-Led AI Companies

AI is your product. A bad hire doesn't just delay a feature; it churns out customers.

How We Fix It

We Vet for System Design, Not Just API Calls.

We test how developers design, build, evaluate, and scale AI systems in production.

Fixes: Choosing the wrong AI skill set

RAG Architecture That Actually Works

We test chunking, hybrid search, re-ranking, and retrieval strategies—not just vector database integration.

Fixes: Hallucinations and inconsistent answers

Evaluation That Measures Results

We test hands-on experience with RAGAS, TruLens, or custom datasets to measure AI quality.

Fixes: Lack of production AI experience

Production Observability

We test experience with LangSmith, Arize, tracing, and production debugging.

Fixes: Hard-to-debug AI failures

Cost Engineering

We test how developers use caching, model routing, and distillation to reduce inference costs.

Fixes: Unpredictable AI spending

Production-Ready Architecture

We test how developers handle concurrency, rate limits, fallbacks, model changes, and scaling.

Fixes: Risky AI launches

Evaluation Before Launch

We test how developers identify edge cases, failure modes, and quality issues before release.

Why CrecenTech

We’ve shipped the code we’re hiring you to write.

Unlike staffing agencies that rely on keyword matching, our vetting team consists of active AI practitioners. We review GitHub repos for architectural patterns, conduct live system design interviews focused on failure modes, and verify production deployments—not just LeetCode scores.

Book a Talent Call →
Real AI Experience Hire engineers who take AI from prototype to production.
Scope Before Staffing We define the right AI skill set before hiring.
Production Over Demos We test engineers on real-world AI challenges.
Flexible Engagements Hire on contract, contract-to-hire, or project basis.
10+ Years Experience Trusted by 70+ businesses across 2,500+ projects.
The Honest Comparison

Build in-house, hire a generalist, or match with CrecenTech.

The right AI expertise can determine your project’s reliability, cost, and speed to launch.

DIY In-House
On your own
Scoping the Right AI Solution
✕ Your team researches the right approach and AI skills.
AI Reliability
✕ Your team handles production issues as they arise.
Cost Management
✕ AI and infrastructure costs can grow before optimization.
Time to Launch
✕ Your developers learn AI while managing their existing roadmap.
Generalist Freelancer
Typical hire
Scoping the Right AI Solution
– They build your requirements without always challenging the approach.
AI Reliability
– They may build a working demo without testing production edge cases.
Cost Management
– They may overlook long-term AI and infrastructure costs.
Time to Launch
– They can start fast, but technical depth varies.
Recommended
CrecenTech
Scoping the Right AI Solution
✓ We define your needs and match the right AI specialist.
AI Reliability
✓ We build with grounding, evaluation, and production testing.
Cost Management
✓ We optimize architecture and model usage for sustainable costs.
Time to Launch
✓ Start with vetted talent and move quickly toward production.
How It Works

From AI idea to production-ready feature.

01

Technical Scoping Call

Our AI lead reviews your project, tech stack, and requirements before we start the search.

02

Talent Matching

We identify AI engineers whose technical skills and experience match your specific needs.

03

Code & System Design Review

Shortlisted candidates complete a relevant architecture review or code assessment before you interview.

04

Trial Task Option

Start with a paid micro-engagement to validate technical fit before making a full commitment.

What You Get

Everything you need to build AI with confidence.

AI Feature Scoping
Vetted AI Developer
Production-Focused Development
AI Architecture Support
Knowledge Transfer Documentation
90-Day Performance Check-ins
★★★★★

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.

Why should I hire AI developers from CrecenTech? +

CrecenTech connects businesses with vetted AI developers experienced in building production-ready AI applications. We focus on technical expertise, system reliability, and matching developers to your project requirements.

How does CrecenTech vet AI developers? +

CrecenTech evaluates AI developers through code reviews, technical assessments, and system design interviews. We prioritize hands-on experience with LLMs, RAG systems, AI agents, and production deployments.

How quickly can I hire an AI developer through CrecenTech? +

CrecenTech aims to provide shortlisted AI developer candidates within 48 hours. The final hiring timeline depends on project requirements, developer availability, and interviews.

What happens if my CrecenTech AI developer isn't a good fit? +

CrecenTech offers a 90-day replacement guarantee. If a developer doesn't meet expectations, we help find a replacement and coordinate knowledge transfer to minimize disruption.

What does an AI developer do? +

An AI developer builds software applications using artificial intelligence. Their work includes AI chatbots, LLM integrations, RAG systems, AI agents, workflow automation, and intelligent business applications.

How much does it cost to hire an AI developer? +

The cost of hiring an AI developer depends on experience, technical skills, project complexity, and engagement duration. Basic AI integrations generally cost less than complex AI agents or enterprise-grade AI systems.

What skills should an AI developer have? +

An AI developer should understand Python, LLM APIs, prompt engineering, RAG, vector databases, and AI frameworks such as LangChain and LangGraph. Production experience with evaluation, monitoring, security, and cloud infrastructure is also important.

Can AI developers integrate AI into existing applications? +

Yes. AI developers can integrate AI features into existing websites, SaaS products, CRMs, and enterprise software. Common integrations include AI assistants, intelligent search, document processing, and workflow automation.

What is the difference between an AI developer and a machine learning engineer? +

An AI developer builds applications using AI models, APIs, and frameworks. A machine learning engineer focuses on training, fine-tuning, deploying, and maintaining machine learning models.

What is a RAG system, and why do businesses use it? +

Retrieval-Augmented Generation (RAG) connects AI models to external knowledge sources, such as company documents and databases. Businesses use RAG to generate more relevant, grounded answers without retraining the underlying AI model.

Hire an AI Developer Who Can Actually Ship

Need an AI developer who can build beyond the demo? Get vetted AI talent with the skills to build, scale, and ship production-ready AI features.