Alternatives to Dex for AI Engineering Hiring (2026)
Dex is an AI-powered recruiter founded in early 2025 by Paddy Lambros (previously a hiring advisor at VC firm Atomico), focused on AI researchers, software developers, and machine-learning and quantitative engineers. Its AI agent holds conversations with a network of 15,000+ signed-up engineers and introduces motivated matches; 50+ technology companies use it. Dex charges employers 20–30% of a hired candidate's first-year salary – the traditional executive-search fee structure – and raised a $5.3 million seed led by Notion Capital in April 2026 ($8.4 million total). lemonly is the flat-fee alternative: $8,000 per hire due only on placement across commercial, operations, marketing and technical roles, with AI sourcing of 15,000–20,000 candidates per role, human screening interviews, and a 90-day guarantee.
Last updated July 11, 2026.

Alternatives to Dex
Dex points a conversational AI agent at the hardest talent pool in tech. If your role sits outside AI engineering – or your budget is flat-fee shaped – here are the options.
Last updated July 11, 2026
The short answer
Dex is an impressive AI talent agent for AI/ML engineering roles – priced like an executive search firm at 20–30% of salary. lemonly runs AI sourcing plus human screening for $8,000 flat, whatever the salary.
$8,000
flat fee per hire
On placement
the only time you pay
90 days
guarantee
WhatDexis–andwhoit'sreallyfor
Dex is one of the most interesting new companies in recruiting: an "AI talent agent" that holds real conversations with engineers – built by Paddy Lambros, who advised ~100 European startups on hiring at Atomico, and backed with a $5.3 million seed led by Notion Capital in April 2026. Its thesis: an AI agent can stay in genuine dialogue with hundreds of thousands of candidates, where a human recruiter knows a few hundred. Over 15,000 engineers have signed up, and 50+ technology companies hire through it.
Two things define where Dex fits. First, focus: it's built for AI researchers, ML and quantitative engineers – arguably the scarcest talent pool in tech, where a network that candidates actually opt into is a real edge. Second, pricing: Dex charges employers 20–30% of first-year salary, the traditional executive-search structure. On the compensation those roles command, that's routinely $30,000–45,000 per hire – and, like any percentage fee, it grows with the salary you offer.
We'd say this as peers rather than critics: charging on success is the right instinct, and it's ours too. The difference is how the fee scales with the salary you offer – flat versus percentage – and that difference is the heart of this page.
And what lemonly is
lemonly is an AI talent-sourcing platform with human recruiters in the loop, built in Vancouver and serving teams across Canada and the US. For every role, lemonly's AI sources and assesses 15,000–20,000 candidates – including the passive people who never see a job post – and our recruiters interview the strongest before you meet anyone. What reaches you is a short list of candidates already worth your calendar, each with a fit briefing.
The pricing is published: $8,000 flat per hire, due only when you hire, with a 90-day refund-or-replacement guarantee and no contract to sign. The full process – brief, sourcing, screening interviews, warm introductions – is laid out on how lemonly works. With both halves introduced, here's how they actually differ.
The three differences that matter
Two AI-era recruiters with opposite pricing philosophies.
Deep vs broad
Dex is purpose-built for AI/ML engineering – an AI agent in conversation with 15,000+ opted-in engineers. lemonly runs searches across commercial, ops, marketing, and technical roles.
Percentage vs flat
Dex charges 20–30% of first-year salary – on AI-engineering comp, often $30,000–45,000 per hire. lemonly charges $8,000 flat, regardless of what the role pays.
The same bet on success
Both models only get paid when you hire – an alignment we respect. The difference is what success costs, and whether the fee grows with the comp you offer.
The math on a $150K engineer
Both fees are due on placement – the difference is how they scale with the salary.
A percentage grows with the salary you offer; a flat fee doesn't – on senior AI-engineering comp that difference runs $22,000–37,000 per hire. The honest counterweight: for genuinely scarce AI-research talent, Dex's opted-in specialist network is exactly the kind of edge a premium fee can be worth.
lemonly vs Dex
The core differences at a glance:
| Dimension | lemonly | Dex |
|---|---|---|
| Built for | Commercial, ops, marketing + technical roles | AI researchers, ML and quantitative engineers |
| Model | AI sourcing + human screening interviews | Conversational AI agent + opted-in network |
| Pricing | $8,000 flat, due on placement | 20–30% of first-year salary, due on placement |
| On a $150K hire | $8,000 | $30,000–45,000 |
| Candidate reach | 15,000–20,000 sourced and assessed per role | 15,000+ engineers signed up to the network (2026) |
| Guarantee | 90 days – refund or replacement search | Success-fee model; terms per engagement |
| Home market | Canada + US | UK – expanding to New York and San Francisco in 2026 |
How the two approaches work
Hiring through Dex
- 1Brief Dex on the engineering role
- 2Its AI agent talks with candidates across the 15,000+ engineer network
- 3Motivated, matched candidates are introduced
- 4Pay 20–30% of first-year salary when you hire
Hiring through lemonly
- 1Brief the role with our team – no contract, no retainer
- 2lemonly's AI sources and assesses 15,000–20,000 candidates for the role
- 3Our recruiters interview the strongest before you meet anyone
- 4You interview a screened shortlist – $8,000 due only when you hire, backed by a 90-day guarantee
Dex makes sense if you...
- –Are hiring AI researchers or ML engineers specifically – it's purpose-built for that pool
- –Want an agent already in conversation with thousands of opted-in AI engineers
- –Compete for scarce AI talent where a specialist network beats broad sourcing
- –Have budget for executive-search-level fees on critical technical hires
lemonly makes sense if you...
- Are hiring across commercial, ops, marketing, or broader technical roles
- Want the fee flat instead of scaling with the salary you offer
- Are hiring in Canada or the US
- Want human screening interviews and a 90-day guarantee
Keep comparing
Other alternatives worth a look
Paraform
Paraform turns hard searches into contests between specialist recruiters.
ComparePin
Pin automates sourcing and outreach impressively – you still run the interviews.
CompareMercor
Mercor is built for staffing AI-training experts at scale.
CompareOr zoom out: the best startup recruiting options in 2026, compared across every category.
Common questions
Dex is an AI-powered recruiter founded in early 2025 by Paddy Lambros, who previously advised roughly 100 European startups on hiring at the VC firm Atomico. Its conversational AI agent matches AI researchers and ML/quantitative engineers – 15,000+ signed up – with the 50+ technology companies hiring through it. It raised a $5.3 million seed led by Notion Capital in April 2026.
Dex charges employers between 20% and 30% of a hired candidate's first-year salary, due on the hire – the same structure as traditional executive search. On a $150K engineer that's $30,000–45,000.
Focus and fee shape. Dex specialises in AI/ML engineering and charges 20–30% of salary. lemonly covers commercial, operations, marketing, and technical roles and charges $8,000 flat per hire, due only on placement, with human screening interviews and a 90-day guarantee.
For frontier AI-research talent, Dex's opted-in specialist network is a genuine edge and can justify its premium fee. For broader software, data, and ML-adjacent engineering – or any role where you'd rather the fee didn't scale with comp – a flat-fee search with human screening covers the ground at a fraction of the cost.
Want success-fee alignment without the percentage?
$8,000 per hire, only when you place someone. 90-day satisfaction guarantee. Cancel any time.
Book a Demo