The most common mistake is hiring cheap for AI and paying for it twice; once for the engineer, and again for the engineer who has to rebuild what they shipped.
Your Klysera AI engineer gets the architecture right the first time, vetted against a standard that screens for real production experience, rather than interview vocabulary.
Hire AI engineers without paying Silicon Valley AI salaries
Get matched with vetted AI-native engineers in less than 2 weeks, at up to 60% less than traditional hiring models, on an outcome-based model that ensures you only pay if we hit the desired benchmarks.
Trusted By Global Tech Teams Building The Future
THE FUTURE OF AI ENGINEERING
You don't need to gamble $150K on an engineer whose AI experience is a weekend project and a strong opinion about ChatGPT
The AI hiring market right now is full of engineers who can speak fluently about models and ship almost nothing that survives contact with real users. Every founder we talk to has a version of the same story; they hired fast, hired cheap, and paid for it later in rebuilds, security gaps, or features nobody trusted.
YOUR AI ENGINEERING ADVANTAGE
The AI engineering
Talent partner your product has been waiting for.
Talent partner your product has been waiting for.
See the Impact Agreement
BUILT FOR THE WAY YOU BUILD
Ship AI features that work in production with world-class AI engineers built around the problems that ensures your AI product beats the odds
Reliable AI in Production
Problem
No Handoff
Scope
Builds evaluation systems, output monitoring, and reliability infrastructure before the first user sees the feature.
Prompt Architecture
Problem
No Handoff
Scope
Structures the prompting logic, chain design, and tool integrations that make complex AI workflows produce consistent outputs across the full range of real user inputs.
RAG & Retrieval
Problem
No Handoff
Scope
Builds the vector databases, embedding pipelines, and retrieval architectures that eliminate hallucinations by giving the model access to your specific data.
End-to-End AI Delivery
Problem
No Handoff
Scope
Takes an AI feature from architecture decision to production deployment, building everything in between with the engineering discipline that makes AI reliable enough to stake your product on.
SUCCESS IN NUMBERS
The best return on your engineering investment.
Companies that hire through Klysera get a measurable shift in how their infrastructure performs, what it costs, and how fast their team can ship on top of it.
60%
Cost savings compared to traditional hiring models
5-point
IKE framework every engineer is stress-tested against to ensure they meet the set benchmarks
$0
Is our fee if your engineer doesn't hit the benchmarks we agreed before they started.
100%
Of all Klysera's engagements are outcome-based, so you only pay for results.
THE IKE FRAMEWORK
We Built The Framework To Get You The Rarest Type of Builders
Most founder conversations with talent partners feel like being sold to. Ours don't. Here's exactly what happens from the moment you book to the moment your engineer is working on your product:
OUR SERVICES
Great applied AI engineering goes beyond adding AI features to your product. It's building the intelligence layer that makes your product genuinely smarter.
From prompt architecture to production inference pipelines, here's what your IKE owns from day one.
Prompt Architecture & Chain Design
Multi-step prompt chain design & optimisation
Tool calling & function integration
Agent loop architecture & guardrail design
System prompt design & context management
RAG & Knowledge Systems
Vector database architecture & management
Embedding pipeline design & optimization
Retrieval strategy design & relevance tuning
Knowledge base integration & maintenance
Evaluation, Monitoring & Reliability
Evaluation framework design & implementation
Hallucination detection & output validation
Production monitoring & model drift detection
A/B testing infrastructure for AI features
Inference Architecture & Cost Optimization
Inference pipeline design & optimization
Request batching & response caching systems
Model routing & latency optimization
Cloud cost management for AI workloads
KLYSERA VS. THE ALTERNATIVES
Hiring or outsourcing? Neither.
Work with world-class AI-native engineers who are fully vetted, enabled, and backed by a guarantee built around your outcomes.
Klysera
We define what success looks like together — specific, measurable outcomes your engineer is expected to deliver.
Traditional staffing
They hand you resumes and hope for the best. No accountability after placement.
In-house hiring
Full control, but slow, expensive, and you're gambling on interviews alone.
Outsourced dev shops
They build it for you, but you lose control, context, and the ability to iterate on your own terms.
AI-Native Talent
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
End-to-End Ownership
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Performance Guarantee
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Ongoing Enablement
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Cost Efficiency
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Impact Agreement
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
OUR WORK
Here's what happens when the right engineer treats your product like it's their own.
"Our cloud bill had tripled in 18 months and nobody could tell me why. The Klysera engineer we brought in audited everything, cut $38K in monthly spend, and rebuilt our deployment pipeline in six weeks. We went from shipping fortnightly to shipping daily. That's not an infrastructure win — that's a product win."
Daniel R. · CTO
Series B SaaS · Remote
"We had 14 infrastructure vulnerabilities flagged two weeks before our biggest enterprise sales call. Klysera's cloud engineer closed every one and had our compliance documentation ready before the meeting. We closed the client. That engineer paid for themselves in one deal."
Sarah M. · CEO
AI Startup · London
"We had no infrastructure, no DevOps, nothing. Just a product that needed to exist. Klysera built the entire cloud foundation from scratch — architecture, CI/CD, security baseline — and stayed with us through the seed round. Investors were asking about our technical foundation. For the first time, we had a real answer."
Yoav B. · VP Engineering
Fintech · Tel Aviv
"We were burning through compute budget and our unit economics didn't make sense. The inference infrastructure Klysera built reduced our per-request cost by 64%. That number is what got us to Series A. I'm not exaggerating."
Noa T. · Founder
Pre-Seed · Remote
OUR DIFFERENCE
Klysera is built for founders who refuse to settle.
Accountable:
We monitor delivery against the benchmarks we agreed before work began, step in when things drift, and stay accountable for outcomes long after the onboarding call is over.
Precise:
We match you to the engineer whose specific experience maps to your specific inflection point in a company that looked like yours.
Enabling
Every Klysera engineer arrives with more than technical skills. They arrive equipped with the frameworks, tooling, and ongoing support to deliver from day one and stay consistent throughout the engagement.
Seamless
You always know where your engineer stands, what they're working on, and whether the benchmarks are being hit.
YOUR PRODUCT DESERVES BETTER
We only work with the best AI engineers to ensure your AI features work the way they were supposed to.
Fewer than one in five engineers who enter the Klysera assessment pass the IKE standard because building AI systems that work reliably in production, stay cost-efficient at scale, and never embarrass you in front of your users requires a specific combination of capabilities that most hiring processes were never designed to find.
A NEW STANDARD FOR YOUR PRODUCT
You didn't build something worth scaling just to watch your AI features break under pressure.
There's a better way to build. And it's not another job board search that returns engineers who've called an API and called it AI experience, another agency retainer that disappears the moment your inference costs spiral, or another freelancer who ships something that works in the demo and falls apart in production.
Experience a new standard in AI engineering.
Let's talk about what you're building and find the engineer who's shipped AI features like yours in production before.
