Top AI Engineer Staffing Companies

Proxify vs KORE1: full comparison for 2026

Quick verdict

Proxify (4.4/5) edges ahead of KORE1 (3.6/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. KORE1 is the stronger option for U.S. companies that want a local agency to recruit ML engineers on contract-to-hire terms. The right choice depends on your project size, budget, and required tech stack.

Proxify vs KORE1: head-to-head summary

Criterion Proxify KORE1
Founded 2018 2005
HQ Stockholm, Sweden Irvine, California, USA
Team size 5,000+ network members Not published
Rating 4.4 / 5 3.6 / 5
Primary differentiator Senior-engineer interviews with live coding after an automated skills test A U.S. staffing agency with contract-to-hire terms for AI roles
Pricing model Hourly rate per developer billed monthly; full-time or part-time; rates on request Contract bill rate or placement fee; rates on request
Min. engagement Not published Not published
Primary tech stack Python, PyTorch, TensorFlow Python, AWS, Azure
Industries served SaaS, Fintech, E-commerce, Media, Healthcare Technology, Healthcare, Manufacturing, Finance, Aerospace

Proxify vs KORE1: overview

Proxify

Proxify was founded in Stockholm in 2018 (one of its own pages says 2019) and matches companies with vetted developers across web, data, AI and DevOps. Candidates take Codility-based skills tests, then sit in-depth technical interviews with Proxify's senior engineers that include live coding and practical problems. The company quotes an acceptance rate of 1–3%, though the figure varies from page to page. Its network covers more than 5,000 professionals in over 90 countries, and it appeared on the Financial Times 1,000 list in 2025. Matching uses in-house AI tools alongside its hiring team.

KORE1

KORE1 is an IT and professional staffing agency headquartered in Irvine, California. Its own sources give both 1999 and 2005 as starting dates; we use 2005, the year in its company summary. It recruits on contract, contract-to-hire and direct-hire terms across IT, data and AI/ML, with pages for ML, LLM, MLOps and GenAI engineers. KORE1 reports an average time-to-hire of 17 days and 12-month retention of 92% for IT roles. Screening is done by recruiters, and AI is one category among many.

Services and capabilities: Proxify vs KORE1

Capability Proxify KORE1
ML engineers ✓ ✓
LLM / GenAI engineers ✓ ✓
AI agent developers ✗ ✗
MLOps engineers ✗ ✓
Computer vision engineers ✗ ✗
NLP engineers ✗ ✗
Data engineers ✓ ✗
Engineer-led technical screen ✓ ✗
Fractional / part-time experts ✓ ✗
Trial before commitment ✗ ✗
Nearshore time-zone overlap ✗ ✗
Direct hire option ✗ ✓

Tech stack comparison: Proxify vs KORE1

Framework / platform Proxify KORE1
PyTorch ✓ N/A
TensorFlow ✓ ✓
LangChain N/A N/A
Hugging Face N/A N/A
OpenAI N/A N/A
AWS ✓ ✓
Azure ✓ ✓
Google Cloud ✓ ✓
Databricks ✓ N/A
Kubernetes N/A N/A

Pricing comparison: Proxify vs KORE1

Criterion Proxify KORE1
Minimum engagement Not published Not published
Engagement models Dedicated engineer, Fractional expert, Freelance contract Contract-to-hire, Direct hire, Freelance contract
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Proxify vs KORE1

Dimension Proxify KORE1
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, E-commerce Technology, Healthcare, Manufacturing
Best use cases Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system Hiring an on-site ML engineer in Southern California, Bringing in a contract MLOps engineer with a path to permanent
Typical project type Dedicated engineer Contract-to-hire

Proxify vs KORE1: pros and cons

Proxify
+ Live-coding interviews with in-house senior engineers are part of the published process
+ Most of the network is in European time zones, which suits teams in the EU and UK
+ Grew fast enough to make the Financial Times 1,000 list in 2025
- AI is one of many skill areas, and there is no AI-specific test on the record
- Acceptance-rate and network-size figures differ across the company's own pages
- Developers are contractors on the platform, not Proxify employees
KORE1
+ U.S.-based candidates for on-site or hybrid roles
+ Contract-to-hire lets you test before a permanent offer
+ Published time-to-hire figure
- Recruiter-led screening
- AI is one category inside a general staffing business
- U.S. rates, which are higher than nearshore or offshore options

Who should choose Proxify?

A typical fit: adding a data engineer to a European fintech's analytics team.

Senior-engineer interviews with live coding after an automated skills test. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Media, Healthcare.

Who should choose KORE1?

A typical fit: hiring an on-site ML engineer in Southern California.

A U.S. staffing agency with contract-to-hire terms for AI roles. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Healthcare, Manufacturing, Finance, Aerospace.

Decision matrix: Proxify vs KORE1

Your situation Recommended choice
You want a working engineer, not a recruiter, to run the technical screen Proxify
You need one specialist for a few days a week Proxify
You need several engineers working as one team Proxify
You want to test an engineer before committing Neither publishes a trial; negotiate a short first term
Your budget is at the lower end Compare: Proxify (Not published) vs KORE1 (Not published)
Your team works U.S. hours Neither lists Latin American engineers; confirm overlap hours in the contract
You may want to hire the engineer permanently later KORE1

Use case fit: Proxify vs KORE1

Use case Proxify fit KORE1 fit Winner
Adding a data engineer to a European fintech's analytics team Strong Limited Proxify
Hiring a Python ML developer for a recommender system Strong Strong Both equally
Hiring an on-site ML engineer in Southern California Strong Strong Both equally
Bringing in a contract MLOps engineer with a path to permanent Limited Strong KORE1

Verdict: Proxify vs KORE1

Proxify (4.4/5) is the stronger overall choice for most AI Engineer Staffing projects. Senior-engineer interviews with live coding after an automated skills test.

KORE1 (3.6/5) is worth a look if you need bringing in a contract MLOps engineer with a path to permanent. If your situation matches that, KORE1 is a competitive option.

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Proxify vs KORE1 FAQ

Is Proxify better than KORE1?

Proxify (4.4/5) scores higher overall, but "better" depends on your use case. Proxify's strongest advantage: live-coding interviews with in-house senior engineers are part of the published process. KORE1's strongest advantage: U.S.-based candidates for on-site or hybrid roles.

How do Proxify and KORE1 differ in pricing?

Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. KORE1 uses contract bill rate or placement fee; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Proxify or KORE1?

Proxify is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between Proxify and KORE1?

Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. KORE1's primary differentiator is: a U.S. staffing agency with contract-to-hire terms for AI roles. They also differ in team size (5,000+ network members vs Not published), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Technology, Healthcare).

Verify all details directly with each company before making a decision.