Hire

AI-Native Engineers

Fast

The difference between a roadmap and a product is the team behind it. Our engineers and operators have built and shipped at leading startups and technology companies - vetted, matched, and ready to turn your plans into production.

Amin portrait

Amin

AI-native Full-stack Engineer

EXPERIENCE

Ex-Google, OpenAI

AVAILABILITY

Immediate

TOP SKILLS

PythonReact/Next.jsFastAPI
ACTIVITY (LAST 30 DAYS)
THE CHALLENGE

Hiring AI talent is hard

Engineering teams lose months filtering candidates who can’t contribute in production - while bad hires compound
costs through lost productivity, delayed execution, and wasted salary.

📄
Too many resumes to screen and evaluate
⚕️
Candidates untested in production
⏱️
Senior engineers tied up interviewing
⚕️
Hiring cycles slowing execution
⚕️
Expensive mis-hires hurting momentum

Cost Savings Calculator

LIVE ESTIMATE

3
$140k
Estimated Annual Savings
$63,000
vs. traditional recruitment agencies (15-20% fees)
OUR SOLUTION

Hire AI engineers with assurance

Pre-vetted engineers across full-stack and AI. Every engagement includes a 2-week success guarantee: if the hire isn’t the right fit,
we replace them at no cost so your team can keep moving fast.

Ship Faster with Confidence

Every engineer is vetted for technical depth, AI expertise, and the ability to ship in real-world production environments.

Embedded into Your Workflow

Our engineers integrate directly into your stack, tools, and processes - aligning with your team to execute without friction.

Strong Communication & Ownership

Clear communicators who operate with professionalism, and accountability - able to work directly with founders, and stakeholders without heavy management overhead.

Scale Without Losing Momentum

Expand from a single engineer to a full team seamlessly - without slowing down development or losing context.

Build with AI-First Thinking

Experienced working with modern AI tools and building AI-native workflows into real development environments.

Engineering Domains We Cover

We specialise in high-consequence fields - where a wrong answer means a misdiagnosis, a compliance failure, a liability,
a security vulnerability, or a physical accident.

AI Engineers - Build AI products faster

AI Engineers - Build AI products faster

ML Engineers - Productionize ML systems

ML Engineers - Productionize ML systems

Forward Deployed Engineers - Deploy directly with customers

Forward Deployed Engineers - Deploy directly with customers

DevOps Engineers - Scale infrastructure reliably

DevOps Engineers - Scale infrastructure reliably

Full Stack Engineers - Ship end-to-end products

Full Stack Engineers - Ship end-to-end products

Execution Pods

Buy outcomes, not headcount

Need projects delivered without building and managing an internal team around them? You define the goal. We handle end-to-end execution through AI-native engineers and operators led by an ex-MBB project lead.

Build

We ship your first working AI agent. You bring the use case and the deadline; we bring the engineers, the eval setup, and the domain feedback to ship an agent that actually works - not a demo.

Integrate

Clean the data, wire the stack, make agents usable. Most agents fail at the data and integration layer, not the model layer. We connect agents to your real environment and real workflows.

Customize

Need a more specialized outcome? We assemble and lead dedicated execution teams around your business goals - tailored to your workflows, timelines, and operational needs.

Scale

Embed a team of forward-deployed engineers. Once the agent works, the bottleneck moves to shipping speed. We plug in a dedicated team - full-stack, AI/ML, forward-deployed - that operates as an extension of yours.

Reliability

Monitor, evaluate, and harden agents in production. Agents drift, edge cases break, users surprise you. We build the eval, monitoring, and human-feedback layer that keeps your agent reliable as it scales.

TESTIMONIALS

Trusted by fast-moving startups.

Hear from startups and engineering leaders who partnered with Oxyzen to build faster with production-ready talent.

Daniel Okafor

"Our agent worked in staging and fell apart in production. Oxyzen fixed the data layer and stayed on to ship the next thing. They don't feel like a vendor - and I've worked with a lot of vendors."

Daniel Okafor

CTO, Northwind Health

Julian Reyes

"I needed one engineer, not a team. Sambhav found someone in a few days. I've gone back for different roles since - same bar every time."

Julian Reyes

Researcher, Tidepool Labs

Maya Patel

"We had a demo and almost no time. Oxyzen's engineers were shipping within days, and what they built is still what we're running. I thought we'd rebuild it. We didn't have to."

Maya Patel

Founder, Lumen AI

Hannah Lindqvist

"We were flying blind in prod. Oxyzen stood up our evals and monitoring, and the engineer they placed just stayed. He's one of our best now."

Hannah Lindqvist

Engineering Lead, Cortex Foundry

Daniel Okafor

"Our agent worked in staging and fell apart in production. Oxyzen fixed the data layer and stayed on to ship the next thing. They don't feel like a vendor - and I've worked with a lot of vendors."

Daniel Okafor

CTO, Northwind Health

Julian Reyes

"I needed one engineer, not a team. Sambhav found someone in a few days. I've gone back for different roles since - same bar every time."

Julian Reyes

Researcher, Tidepool Labs

Maya Patel

"We had a demo and almost no time. Oxyzen's engineers were shipping within days, and what they built is still what we're running. I thought we'd rebuild it. We didn't have to."

Maya Patel

Founder, Lumen AI

Hannah Lindqvist

"We were flying blind in prod. Oxyzen stood up our evals and monitoring, and the engineer they placed just stayed. He's one of our best now."

Hannah Lindqvist

Engineering Lead, Cortex Foundry