4.9/5 on Clutch — 13 verified reviews

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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TRUSTED BY ENTERPRISES

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.

IN THE NEWS

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Hire AIML Engineers
51

AI Products

Top-Rated

AI Development Company

PhD-Level

Expert Team

94%

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%.

LangChain retrieval (RAG) Assistants

We wire the model to your own data so each reply stays fully true.

Vector-Search Chatbots

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

Extensiv

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

Diesel Laptop

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

DRAG

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 delivery
    Clinical documentation systems
    Patient-data safeguards
    Medical 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.

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HIPAA

gdpr-compliance

GDPR

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SOC 2 Type II

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ISO 27001

PCI-DSS

PCI-DSS

ccpa-compliance

CCPA

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EU AI Act

FERPA Logo

FERPA

NIST AI RMF Logo

NIST AI RMF

ISO 42001

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HIPAA

gdpr-compliance

GDPR

SOC TYPE 2 Logo

SOC 2 Type II

iso-27001

ISO 27001

PCI-DSS

PCI-DSS

ccpa-compliance

CCPA

EU AI Act Logo

EU AI Act

FERPA Logo

FERPA

NIST AI RMF Logo

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.

Recognized, Not Self-Proclaimed

These badges come from third parties, not our own marketing team. Clutch, Upwork, and independent reviewers rank our AI and machine learning work among the best they evaluate.

Clutch Spring Champion 2024
Top Clutch Artificial Intelligence Company 2024 Award
Upwork Top 1% · Top Rated
Top Clutch Machine Learning Company San Francisco 2026
Top AI Development Company by Selected Firms
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top Clutch Chatbot Company 2024 Award
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026
Clutch Spring Champion 2024
Top Clutch Artificial Intelligence Company 2024 Award
Upwork Top 1% · Top Rated
Top Clutch Machine Learning Company San Francisco 2026
Top AI Development Company by Selected Firms
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top Clutch Chatbot Company 2024 Award
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026

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.

Problem

Generalist Hires, Specialist Problems

A candidate labeled "AI engineer" often lacks hands-on production experience in the exact framework your project needs, so delivery stalls or breaks.

Solution

  • We match every engineer to one named specialization, proven across 51 shipped products.

  • Each candidate proves real framework depth on a live task before any placement.

  • You hire the exact skill your roadmap needs today, not a vague label.

Problem

Slow Hiring, Stalled Roadmaps

Traditional recruiting for specialized AI/ML talent drags on for months while your roadmap waits and your existing team stays stretched too thin.

Solution

  • Our pre-vetted bench engages within days, so slow hiring stops blocking your delivery.

  • The staff augmentation model drops engineers straight into your existing team structure smoothly.

  • A short scoping call confirms the right fit before you commit to anyone.

Problem

Prototypes That Never Ship

Many AI/ML hires can demo a model in a notebook but cannot carry it to production reliability, leaving you an unshippable prototype.

Solution

  • We place only engineers who have shipped production systems real users depend on.

  • Every placement holds up in production, like Q Agency's live 30-second listing pipeline.

  • Handoff includes real production support, so the system keeps running well after launch.

Problem

Compliance Risk, Unqualified Hires

Hiring AI/ML engineers with no healthcare or logistics compliance background creates exposure on HIPAA and SOC 2 projects your business cannot afford.

Solution

  • Our engineers bring HIPAA-compliant delivery experience, proven across regulated work in 25+ industries.

  • They carry SOC 2 context experience for logistics-grade platforms handling sensitive operational data.

  • Compliance is designed in from the first sprint, never retrofitted at the end.

Problem

Generalist Hires, Specialist Problems

A candidate labeled "AI engineer" often lacks hands-on production experience in the exact framework your project needs, so delivery stalls or breaks.

Solution

  • We match every engineer to one named specialization, proven across 51 shipped products.

  • Each candidate proves real framework depth on a live task before any placement.

  • You hire the exact skill your roadmap needs today, not a vague label.

Problem

Slow Hiring, Stalled Roadmaps

Traditional recruiting for specialized AI/ML talent drags on for months while your roadmap waits and your existing team stays stretched too thin.

Solution

  • Our pre-vetted bench engages within days, so slow hiring stops blocking your delivery.

  • The staff augmentation model drops engineers straight into your existing team structure smoothly.

  • A short scoping call confirms the right fit before you commit to anyone.

Problem

Prototypes That Never Ship

Many AI/ML hires can demo a model in a notebook but cannot carry it to production reliability, leaving you an unshippable prototype.

Solution

  • We place only engineers who have shipped production systems real users depend on.

  • Every placement holds up in production, like Q Agency's live 30-second listing pipeline.

  • Handoff includes real production support, so the system keeps running well after launch.

Problem

Compliance Risk, Unqualified Hires

Hiring AI/ML engineers with no healthcare or logistics compliance background creates exposure on HIPAA and SOC 2 projects your business cannot afford.

Solution

  • Our engineers bring HIPAA-compliant delivery experience, proven across regulated work in 25+ industries.

  • They carry SOC 2 context experience for logistics-grade platforms handling sensitive operational data.

  • Compliance is designed in from the first sprint, never retrofitted at the end.

The Workflow Automation Stack We Deploy

We build automations on this stack, pairing orchestration engines, agent frameworks, and infrastructure our team runs daily.

Python
Python

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.

1

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.

2

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.

Design & Prototyping
3

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.

Development and Integration
4

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.

5

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.

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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.