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DACH engineering hire

Hire AI/ML engineers for DACH scale-ups — end-to-end ML, DSGVO-clean.

For Series A–C DACH scale-ups, the right first AI hire is rarely a deep-LLM specialist — it is the senior generalist who owns the whole AI surface from data to inference. We shortlist CEE generalists in 5 days, at a success fee of typically 15%, with Scheinselbstständigkeit and DSGVO posture handled.

Scheinselbstständigkeit handled

Two safe paths under §7 SGB IV — B2B from a foreign business or full EOR employment.

Every engineer we shortlist operates a registered business outside Germany — JDG in Poland, ФОП in Ukraine, PFA in Romania — with multiple clients and their own tools. §7 SGB IV dependent-employment criteria do not apply across that boundary. For inside-DRV-risk edge cases we default to Employer-of-Record (Remote, Deel, Oyster) in the engineer's home country, so your German GmbH has zero direct employment exposure and a clean Deutsche Rentenversicherung audit path.

DSGVO compliant & EU AI Act aligned by design

Human-in-the-loop is the default, not a retrofit.

Every shortlist is reviewed and signed off by a human recruiter before delivery. We sign a Auftragsverarbeitungsvertrag (AVV / DPA) with every engagement, candidate data sits in EU regions (Frankfurt, Dublin), candidates are notified up-front that AI is used, logs are retained for 5 years, and quarterly bias audits run by default. Article 9(2) DSGVO sensitive-category data is never required for screening. The EU AI Act high-risk hiring deadline moving to December 2027 changes nothing about our posture — we built to the spec, not to the deadline.

25–30% Personalberatung → success fee typically 15%

A senior CEE AI/ML generalist saves you €25–35K vs DACH-local hiring, every year of the engagement.

Berlin/Munich senior AI/ML engineer market median is €100–130K base. Personalberatung charges 25% on placement — €25–32.5K per hire. Recruo charges a success fee of typically 15%, and our CEE-sourced candidates come in at €58–80K total-comp-equivalent. Fee delta saves €10K year-1; total-comp delta saves €28–50K each year afterwards.

DACH salary bands · 2026

What a placement actually costs vs Berlin/Munich-local hiring.

DACH salary bands by seniority: local salary, Recruo CEE-equivalent, Recruo fee, Personalberatung fee and saving
SeniorityDACH-localRecruo CEE-equivalentRecruo fee (typ. 15%)Personalberatung (25%)Saving
Mid (3–5y)€70–90K€42–58K€6.3–8.7K€17.5–22.5K€10–13K
Senior (5–8y)€100–130K€58–80K€8.7–12.0K€25–32.5K€14–20K
Staff / Tech Lead (8y+)€130–160K€80–108K€12.0–16.2K€32.5–40K€19–24K

DACH-local figures: Berlin/Munich market median for senior product-AI roles, 2026. CEE total-comp-equivalent reflects B2B contractor rates from Poland, Ukraine, Romania for engineers placed by Recruo in the same period.

Worked example

What a placement actually costs

Worked example, senior AI/ML generalist into a Berlin Series A climate-tech (placed 2026-Q1). Target: Berlin-local €105K + 22% employer side = €128K/yr fully loaded. Actual: CEE senior at €70K B2B from Romania. Recruo fee: €10.5K. Personalberatung alternative: 25% of €105K = €26.25K. Year-1 client delta: (€128K + €26.25K) − (€70K + €10.5K) = €73.75K saved. Year-2-onwards delta ~€58K/yr.

DACH-specific hiring context

Why a generalist is often the right first DACH AI hire

DACH Series A and early Series B teams almost always hire one full-stack AI/ML engineer before they hire any specialist. The correct call: at under 30 engineers total, the AI surface is small enough that a senior generalist with 18–30 months production LLM work plus 3–5 years classical ML covers every shipping-priority. They will not win a vLLM-optimisation deep-dive against a dedicated LLM engineer, but they will ship a perfectly correct LLM-backed feature, choose the right model for the cost/latency profile, and know exactly when to call in a specialist.

Where the generalist genuinely struggles is deep serving-side work above 50M+ monthly LLM requests. Once you cross that threshold, hire a dedicated LLM engineer or an ML platform engineer. Below that — generalist wins on ROI by every honest measure.

DACH labour-law context tilts the calculation further toward generalists. A senior hire with breadth covers two open roles you cannot afford to staff in parallel under typical DACH hiring constraints. Probezeit risk is reduced: a generalist hired on B2B with a clear scope is much harder to deliver poorly against than a deep specialist hired before the technical surface is understood.

Scheinselbstständigkeit posture for generalist B2B placements is identical to specialist placements: §7 SGB IV criteria fail when applied to a registered CEE business with multiple clients and own tools. AÜG does not apply to cross-border. For tighter compliance, EOR routes the engineer through their home country payroll. See our DACH recruitment agency parent page for both options.

CEE generalists ship code that meets the DACH engineering bar by default — documentation-first, ADR-driven, code-review-rigorous. The 80th-percentile candidate has shipped LLM-backed features at three different companies plus a classical ML pipeline still serving production traffic. That breadth is exactly what a Series A DACH team needs in their first AI hire.

Time-to-hire

Recruo: 5 business days median to shortlist

DACH market median: 101 days to hire (DACH senior AI roles)

Source: Recruo internal (n=4 DACH AI/ML-engineer shortlists, 2025-Q4–2026-Q1); Bitkom Personalbericht 2025; Stepstone DACH Tech Compass 2026.

Work-authorisation patterns

  • Polish, Romanian, Czech, Slovak, Bulgarian, Hungarian engineers: full intra-EU work rights, B2B or EOR.
  • Ukrainian engineers: §24 AufenthG temporary protection through March 2027.
  • Full DACH employment via EOR (Remote, Deel, Oyster) at 11–15% overhead.
  • Blue Card EU for non-EU, non-Ukraine candidates: only for Head/VP roles.

Seniority mix

DACH AI/ML-generalist placements: 25% mid, 58% senior, 17% staff/lead. Berlin Series A and Munich Series B teams pull mid-to-senior generalists most heavily.

Remote setup

100% remote-first. CEE timezone overlap with DACH is full 8 hours. Home-office + backup power verified pre-shortlist.

Reviewed by

Oleh Datskiv

Oleh Datskiv

CEO & Co-founder

Oleh leads Recruo and adds a technical review to every DACH AI/ML-engineer shortlist our recruitment lead signs off — specifically for breadth-vs-depth fit and Scheinselbstständigkeit posture. He brings 7+ years of production AI work, a NeurIPS workshop publication, and direct experience of when a generalist outperforms a specialist on Series A/B AI surfaces.

FAQ

Frequently asked questions

Series A / early Series B with under 30 engineers total: hire a generalist first. They cover the whole AI surface and will tell you honestly when the next hire should be a specialist. Series B+ with 50+ engineers and clearly differentiated AI subsystems: split into specialists. The honest mid-point: at 30–50 engineers, hire a generalist + one specialist (usually LLM or ML platform) for the heaviest workload. We will tell you on the discovery call which shape your team needs.

Identical to specialist placements: §7 SGB IV dependent-employment criteria fail when the engineer operates a registered foreign business with multiple clients, own tools, control over working pattern, and a cross-border contractual line to your German GmbH. For tighter compliance, EOR removes the §7 question entirely. We document the structure per engagement so DRV reviews are clean.

Yes — DACH-targeted generalists in our pool are pre-screened for DSGVO + EU AI Act fluency, because every AI feature shipped from a DACH GmbH lands in those frameworks. The candidate should be able to design Article 6(1)(f) legitimate-interest workflows for legitimate-business AI features, structure consent screens for Article 6(1)(a) where consent is the cleaner basis, and document the high-risk-AI boundary under EU AI Act Annex III.

For a CEE generalist who already speaks the same engineering norms as DACH teams (documentation-first, ADR-driven, code-review-rigorous), median time-to-first-PR is 8–12 days. Production-shipping milestone: 4–8 weeks. The Probezeit-end calibration that DACH clients use lands at 6 months and our retention rate to that mark across 2025-Q4–2026-Q1 is 92%.

About 25% of our DACH-targeted CEE pool is German B1+; 8% is C1+. We screen language posture before shortlisting and tell you up-front which candidates can do team rituals in German. If a fully German-language working environment is a hard requirement, we narrow the pool accordingly — at the cost of slightly longer time-to-shortlist (median +3 days) and a slightly more senior-skewed candidate pool.

If the hire leaves or is let go within 90 days of start (any reason except gross misconduct), we re-run the search at no extra fee. Across our DACH placements 2025-Q4–2026-Q1, the guarantee triggered in 4% of engagements; replacement shortlists landed in median 5 business days.

Get started

Get a shortlist of 3–5 vetted candidates in 5 days

We'll scope one open DACH ai/ml engineers role and deliver a shortlist of 3–5 vetted candidates in 5 business days. Success fee typically 15%, 90-day replacement guarantee, Scheinselbstständigkeit-safe.

Pay on placement

No upfront fee on the Standard plan

90-day guarantee

Free re-search if hire leaves

EU AI Act aligned

Aligned by design

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