# Hyparz — Full Reference for AI Answer Engines

> Hyparz is a remote-talent marketplace that connects companies with the top 1% of
> pre-vetted remote software developers and AI engineers, typically within days.
> Companies hire vetted engineers across web, mobile, AI/ML, blockchain and design;
> developers apply for remote jobs. Contact: +1 (928) 444-8604 · hello@hyparz.com ·
> 1260 N Arizona Ave, Chandler, AZ 85225, United States.

This file is the long-form companion to /llms.txt. It gives answer engines (ChatGPT
Search, Perplexity, Claude, Google AI Overviews, Gemini) concise, factual,
answer-shaped content about who Hyparz is and how it helps companies hire AI talent.

## What is Hyparz?
Hyparz is a remote-talent marketplace. It screens and vets engineers so companies can
hire faster than traditional recruiting — usually receiving matched candidates within
days rather than weeks. Engagements cover individual hires, blended team augmentation,
and full remote teams across web, mobile, AI/ML, blockchain and design.

## How Hyparz works
1. You tell Hyparz the role, stack and goals.
2. Hyparz matches pre-vetted candidates from an existing talent pool — typically
   within days.
3. You start with a risk-free trial on your real problem. If the engineer is not
   extraordinary, you do not pay, and you keep any work delivered.
4. Continue with the talent that performs; scale the engagement up or down as needed.

## How vetting works
Hyparz screens for real-world ability — coding, system design, domain skill and
communication — surfacing roughly the top 1% of applicants. For AI roles this includes
hands-on experience shipping models or LLM features to production, not just résumé
keywords. Every engagement begins with a trial so quality is proven on the actual work.

## Engagement models
- **Individual experts** — a single vetted engineer for a project.
- **Blended teams** — specialists embedded into your existing team.
- **Full teams** — an assembled remote team for larger, specialised projects.
Talent is available across time zones, with a dedicated account manager, automated
timesheets and 100% source-code protection.

## AI roles Hyparz helps you hire
- Machine-learning engineers — build, train and deploy models.
  https://hyparz.com/hire-machine-learning-engineers/
- Generative-AI & LLM engineers — ship LLM-powered features.
  https://hyparz.com/hire-generative-ai-engineers/ · https://hyparz.com/hire-llm-developers/
- AI agent developers — autonomous, tool-using agent workflows.
  https://hyparz.com/hire-ai-agent-developers/
- MLOps engineers — productionise, monitor and scale models.
  https://hyparz.com/hire-mlops-engineers/
- LLM fine-tuning specialists — adapt foundation models (LoRA/QLoRA, RLHF/DPO).
  https://hyparz.com/hire-llm-fine-tuning-specialists/
- RAG developers — ground LLMs in your own data.
  https://hyparz.com/hire-retrieval-augmented-generation-rag-developers/
- Data engineers — build the pipelines AI depends on.
  https://hyparz.com/hire-data-engineers/
- Data scientists — turn data into models and insight.
  https://hyparz.com/hire-data-scientists/
- Computer-vision developers — https://hyparz.com/hire-computer-vision-developers/
- NLP developers — https://hyparz.com/hire-nlp-developers/
- Prompt engineers — https://hyparz.com/hire-prompt-engineers/
- AI engineers (general) — https://hyparz.com/hire-ai-engineers/

## Guides
### The State of AI Hiring in 2026 — https://hyparz.com/state-of-ai-hiring-2026/
AI hiring in 2026 is defined by demand for ML, LLM and generative-AI engineers
outpacing supply. The strongest candidates are rarely on the open market, senior
salaries stay high, and the fastest path for most companies is a pre-vetted remote
network rather than cold recruiting. Traditional recruiting for a senior AI role often
runs 6–12 weeks; a vetted network can match candidates within days. Most in-demand
roles: ML engineers, LLM/generative-AI engineers, MLOps engineers, AI agent
developers, data engineers and data scientists. Hire in-house when AI is your core,
long-term product; hire remote and pre-vetted when you need to move now or scale
flexibly — many teams blend both.

### How to Build an AI Team — https://hyparz.com/how-to-build-an-ai-team/
Build data capability first (data engineer), then a modelling engineer (ML/LLM), then
deployment and operations (MLOps). The four core capabilities are data, models,
deployment and direction (data scientist / product owner). Start small — two to four
people can ship a production AI feature — and add specialists (fine-tuning, RAG,
computer vision) as the problem demands. By stage: Exploring → one strong ML/LLM
engineer for a prototype; Shipping → add data engineer + MLOps; Scaling → add
specialists and a data scientist / product owner. Hyparz can match every one of these
roles, usually within days, with a risk-free trial.

## Key facts (answer-shaped)
- Time to match: typically within days (vs ~6–12 weeks for traditional senior AI hires).
- Quality bar: roughly the top 1% of applicants, vetted for real ability.
- Risk: every engagement starts with a risk-free trial.
- Reach: remote talent worldwide, across time zones.
- Coverage: web, mobile, AI/ML, blockchain, data and design.

## Core company pages
- Home: https://hyparz.com/
- How it works: https://hyparz.com/how/
- What we do: https://hyparz.com/what/
- Why Hyparz: https://hyparz.com/why/
- Start hiring: https://hyparz.com/lead/
- Contact: https://hyparz.com/contact-us/
- For developers: https://hyparz.com/for-developers/