Hire AI/ML Engineers
Kodexo Labs engineers have shipped 51 AI products across 25+ industries for Inc. 5000 clients. It is where companies hire AI/ML engineers who have built live systems that run in production. Each engineer is matched by specialization to the framework a project needs.
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When you hire AI/ML engineers through us, you get the bench behind 51 products across 25+ industries, covering every specialization you need. One relationship, not six searches. Here is who you can hire:
Our Core Capabilities
LLM and generative AI engineers who make documents instantly searchable.
Computer vision engineers who teach your software to read images.
MLOps engineers who keep your models running reliably in production.
Data science and ML engineers who turn data into decisions.
NLP engineers who build software that understands everyday human language.
Agentic AI engineers who build systems that act, not chat.
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AI Products
AI Development Company
Expert Team
Client Retention Rate
Hire AI/ML Engineers Across Six Specializations
Every project needs a different kind of AI engineer. We place specialists matched to the framework you build on, proven on production systems. Need one hire, a dedicated AI/ML team for hire, or a hybrid team?
LLM & Generative AI Engineers
Your team keeps answering the same questions your documents contain. We place engineers who built retrieval assistants that cut Diesel Laptops' lookups 85%.
We wire the model to your own data so each reply stays fully true.
They build a chat tool that talks to your team in plain, clear words.

Add the Specialized AI/ML Engineers Your Roadmap Needs
Your roadmap is waiting on talent you cannot find fast enough. We place engineers matched to your stack, ready to start this sprint.
Each of Our Engineers Has Already Put a Production AI System in Front of Real Users

Extensiv
Extensiv's operations team waited on engineers for every data question, so decisions stalled for days. Our AI/ML engineers built an agentic system, powered by LangGraph, that reads plain-English questions and answers them directly. The team now self-serves across 207 tables and 4 databases at 90%+ accuracy. Extensiv is Inc. 5000, backed by Hg Capital.
90%+
SQL Accuracy
207
Tables
04
Databases


Diesel Laptops
Fleet technicians at Diesel Laptops spent more time hunting for diagnostic records than fixing trucks. Every lookup meant a truck sitting idle. Our engineers built an AI search system that finds the right answer across 160,000 records in seconds, hosted inside their own AWS VPC. Lookup time dropped 85%. Diesel Laptops is Inc. 5000.
85%
Faster Lookup
160,000
Records Searched
AWS VPC
Self-Hosted


SmartMedHx
Clinicians were losing an hour a day to note-taking instead of seeing patients. Our engineers built a documentation system that captures the patient interview and writes the note, HIPAA-compliant from day one. Today 42 providers use it each day, with 493 patient interviews processed so far, running on patent-pending AI our own engineers designed.
42+
Providers
493
Patient Interviews
HIPAA
Compliant

What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.

Christopher Brigham
MD President, Brigham and Associates, Inc.

WATCH VIDEO
- HIPAA-compliant deliveryClinical documentation systemsPatient-data safeguardsMedical NLP pipelines
AI/ML Engineers Who Already Know Your Industry's Data Realities
The best hire already speaks your industry's language from the first day. Our engineers have shipped inside healthcare, logistics, automotive, legal, and other regulated worlds. They know the compliance limits and data quirks before your first sprint.

Put a Vetted AI/ML Engineer on Your Team This Sprint
You have waited long enough for the right specialist to appear. We match you to a vetted AI/ML engineer, brief them on your stack, and get them building alongside your own team fast.
The Compliance Frameworks Our AI/ML Engineers Build Inside Daily
Regulated data is where most AI hires get you in trouble. Our engineers build inside HIPAA, GDPR, SOC 2, and PCI-DSS, the same standard that kept Therapy Talk compliant from day one. Encryption, access controls, and audit trails come built in, not bolted on.

HIPAA

GDPR

SOC 2 Type II

ISO 27001

PCI-DSS

CCPA

EU AI Act

FERPA

NIST AI RMF

ISO 42001

HIPAA

GDPR

SOC 2 Type II

ISO 27001

PCI-DSS

CCPA

EU AI Act

FERPA

NIST AI RMF

ISO 42001
Why Companies Hire Their AI/ML Engineers Through Kodexo Labs Instead of Anywhere Else
Plenty of firms can send you resumes. Few can send you engineers who have already shipped live AI systems for named clients. That difference is why our placements ship on time and survive real production.

Named Agentic AI Specialists
Staffing firms sell a generic AI label. We place the named specialists who built Angel Therapy's agents, cutting note time 90%. Each hire is backed by our PhD-Level Expert Team, not a resume.

Built for Regulated Delivery
Regulated work fails when compliance comes last. Our engineers build inside HIPAA and SOC 2 from day one, the way we put GDPR into Therapy Talk across 51 shipped products in 25+ industries.

Hired on Shipped Systems
A demo proves nothing about surviving real users. We vet on one hard question. Has this engineer shipped production that people use every day? The voice platform behind Listen AI runs 99.9% uptime.

Every AI Specialization Covered
Most vendors cover one AI slice. One deal with us spans LLMs to MLOps. The bench that gave Fairness Factor 80% prediction accuracy lifted IFPG's answer accuracy 85%. And 94% of clients stay.

Stop Losing Roadmap Time to Slow Hiring
Every sprint without the right engineer is a feature your competitors ship first. We close that gap with proven talent ready now. Tell us which specialization you need, from LLM engineers to MLOps, and we match a vetted engineer to your own stack fast.
Overcoming Challenges When Hiring AI/ML Engineers
Hiring specialized AI/ML talent goes wrong in a few predictable ways. The resume looks perfect, then the system never ships. These five problems trip up almost every team building an AI/ML bench, and here is how we solve each one.
The Workflow Automation Stack We Deploy
We build automations on this stack, pairing orchestration engines, agent frameworks, and infrastructure our team runs daily.
























How Kodexo Vets and Deploys AI/ML Engineers
From first call to ongoing delivery, here is exactly how we scope, vet, place, and support the AI/ML engineers you hire.
Discovery and Role Scoping
Backed by a bench behind 51 shipped products, we start by matching your project to the six specializations, from LLM to MLOps. We map the frameworks, timeline, and compliance rules your stack needs first.

Technical Vetting
Every candidate proves skill on a live task matched to the role, a hands-on LangGraph or PyTorch build, not a whiteboard quiz. Our PhD-Level Expert Team reviews the work before anyone reaches your shortlist.

Shortlist and Team Fit
You review a short list of engineers already checked against your existing stack, tools, and team. We weigh working style and communication, because a specialist who cannot slot into your sprints slows everyone down.

Onboarding and Integration
Your new engineer joins your existing Agile sprints, with weekly demos, from the first week. We brief them on your codebase, data, and compliance rules up front, so they contribute to real work fast.

Ongoing Delivery and Governance
Delivery runs on sprint demos and checkpoints, with account management focused on your outcome, not filled hours. For regulated work, we add compliance reviews each sprint. That steady support is why 94% of clients stay.

Related Insights

What is Machine Learning (ML)?
May 2025 · By Kodexo Labs
What machine learning is and how it relates to AI and deep learning, covering key concepts, types of ML, how models are built, and real-world applications.

AI in Education: Intelligent Tutoring Systems for Effective Education with AI and ML Integration
January 2024 · By Kodexo Labs
A guide to AI in education, covering intelligent tutoring systems, how AI and ML integration works, and the benefits for students and educators.

AI in Manufacturing – Smarter Production, Stronger Future
March 2024 · By Kodexo Labs
How AI is powering smarter production in manufacturing, from predictive maintenance to quality control, and what it means for the industry's future.
Awards and recognition
AI engineers build the systems that put models to work; ML engineers build and train the models themselves. Most projects need both, and we place either.






















