Whether you haven't built the feature yet, you're behind a competitor who has, or you tried and it didn't hold up — the root cause is usually the same. The person building it had never actually shipped something like it before, so the mistakes only showed up after launch.
Your Klysera LLM engineer has shipped this exact kind of feature before, for products at your stage, dealing with the exact failure modes you're worried about.
Hire LLM engineers who build production-ready AI applications on GPT, Claude, and Gemini
Get matched with AI-native LLM engineers who design the prompts and evaluation pipelines that turn a foundation model into a feature your users can actually rely on; rigorously vetted, fully enabled, and managed end-to-end, so what you ship in week one still works in month twelve.
Trusted By Global Tech Teams Building The Future
THE FUTURE OF LLM ENGINEERING
Every week without without the AI feature your product needs is a week your competitors pull ahead.
GPT, Claude, Gemini; the foundation models are already extraordinary. What most teams get wrong is prompts that aren't structured for reliability, no evaluation system to catch hallucinations, no plan for what happens when token costs scale with usage.
An LLM engineer is the person who turns a powerful model into a dependable product feature. They own the prompt design, the retrieval architecture, and the cost controls that make the difference between an AI feature your users trust and one they quietly stop using.
YOUR LLM ENGINEERING ADVANTAGE
The 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
World-class LLM engineers built around the problems that actually break AI features in production
Prompt Architecture & Reliability
Problem
No Handoff
Scope
Designs structured prompts, system messages, and output schemas that hold up against the inputs real users actually send.
Evaluation & Failure Handling
Problem
No Handoff
Scope
Sets up evaluation pipelines that test for hallucination, drift, and edge cases and builds the fallback behavior for when the model gets something wrong anyway.
Latency & Cost Control
Problem
No Handoff
Scope
Optimises token usage, caching, and request batching so performance and cost stay stable as usage scales.
Production Deployment & Monitoring
Problem
No Handoff
Scope
Owns the deployment pipeline, versioning, and ongoing monitoring that turns a working prompt into a maintainable production system.
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 FUTURE OF LLM ENGINEERING
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 LLM engineering enables you to ship features your users can rely on.
From your first prompt to the agent workflow that becomes core to how your product works, every Klysera LLM engineer shows up ready to own the work that determines whether your AI feature earns trust or gets quietly abandoned.
Prompt & Interaction Design
System prompt design & structured output schemas
Few-shot example design & prompt optimisation
Multi-turn conversation & context management
Prompt versioning & regression testing
Retrieval & Knowledge Grounding
RAG pipeline design & implementation
Vector database setup & embedding strategy
Knowledge base integration & chunking strategy
Retrieval relevance tuning & ranking
Evaluation & Reliability Engineering
Evaluation framework & test suite design
Hallucination & drift detection
Fallback & graceful failure design
Continuous monitoring & regression alerts
Production Deployment & Optimization
Tool calling & agent workflow design
Latency optimisation & response streaming
Token usage & inference cost management
Deployment, versioning & rollback infrastructure
KLYSERA VS. THE ALTERNATIVES
Hiring or outsourcing? Neither.
Work with world-class AI-native LLM 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 a LLM engineer treats your infrastructure 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 engineers to ensure maximum product quality
Fewer than one in five engineers who enter the Klysera assessment pass the IKE standard, because owning retention, making the right platform call, navigating App Store compliance, and integrating on-device AI simultaneously is a specific capability most hiring processes never screen for.
A NEW STANDARD FOR YOUR PRODUCT
You didn't build something worth scaling just to watch it hit a ceiling your architecture can't support
There's a better way to build. And it's not another job board search, another agency retainer that disappears when the performance ceiling appears, or another freelancer who makes the framework call based on what they know rather than what your product needs.
Experience a new standard in LLM engineering.
Let's talk about what you're building and find the engineer who's made those decisions correctly before.
