मुफ्त · ~6 मिनट · कोई लॉगिन नहीं

वो AI टीम ब्लूप्रिंट करें जो आपको सच में चाहिए — महीने-दर-महीने, अपने बजट में, अपने क्षेत्र में.

ईमानदार build-vs-augment सिफारिशें: «लंदन में आप 12 महीनों में जिन 5 senior AI engineers की ज़रूरत है उनमें से 2 को वास्तविक रूप से hire कर सकते हैं. पहले 6 महीनों के लिए 3 को augment करने पर विचार करें». 11 क्षेत्रों में सैलरी बैंड्स. छह मिनट में चौबीस-महीने की योजना.

भूमिकाएँ

ग्यारह कोर भूमिकाएँ. विज़ार्ड चुनता है कि आपको कौन सी चाहिए.

  • AI Engineer

    Prompts, RAG, evaluation, integration का मालिक. ज़्यादातर टीमों को चाहिए पहली AI hire.

  • ML Engineer

    मॉडल्स को train और deploy करता है. AI Engineer से अलग काम — अलग loops, अलग bands.

  • MLOps / Platform

    GPU ops, observability, infrastructure. वो भूमिका जो बाकी टीम को productive बनाती है.

  • Data Engineer

    Pipelines, retrieval stores, data infra. चुपचाप skip करने के लिए सबसे कठिन भूमिका.

  • AI PM

    AI-native प्रोडक्ट sense, eval criteria, roadmap. आधी जीत यह है कि क्या नहीं शिप करना.

  • AI Evaluation / QA

    Evals, red-teaming, test infrastructure. वो भूमिका जो उपयोगकर्ताओं से पहले मॉडल regression पकड़ती है.

क्षेत्र

सैलरी बैंड्स और time-to-hire जो आपकी हकीकत से मेल खाते हैं.

  • US

    गहरी talent density, सबसे अधिक comp. SF Bay / NYC 2024 के बाद remote-friendly.

  • UK / लंदन

    गहरी density, IR35 + tax जटिलता. मज़बूत applied-scientist पूल.

  • जर्मनी / DACH

    मज़बूत ML engineering. उच्च loaded multiplier (1.45). धीमी लेकिन स्थिर hiring.

  • भारत

    Junior/mid पर गहरी density, बढ़ता senior. Time-to-hire अक्सर वैश्विक रूप से सबसे तेज़.

  • सिंगापुर / UAE

    मध्यम density. Senior के लिए premium. Visa friction असली है पर workable.

  • Remote global

    सबसे विस्तृत pool, EOR + tax जटिलता. 5–9 महीने time-to-hire ईमानदार है.

मेथोडोलॉजी

कोई placement fees नहीं. कोई वेंडर sponsorships नहीं.

Salary बैंड्स Levels.fyi, Built-In, Payscale, Howdy, Second Talent, LinkedIn Talent Insights, और HeroHunt के पार त्रिकोणित — तिमाही रिफ्रेश. Build-vs-augment लॉजिक pseudocode में प्रकाशित है ताकि आप इसे pressure-test कर सकें.

पूरी मेथोडोलॉजी पढ़ें

FAQ

AI टीम planning के बारे में आम सवाल.

What does the Buzzi.ai Team Blueprint tool do?

It produces a month-by-month AI team plan tailored to your project type, scale, region, timeline, and budget — with build-vs-augment recommendations, salary-banded budget envelope, and a JD-template pack you can paste into your ATS.

Why does the tool separate AI Engineer from ML Engineer?

Different jobs. AI Engineer owns prompts, RAG, evaluation, integration. ML Engineer trains and deploys models. Hiring loops, comp bands, and skill profiles diverge — collapsing them produces wrong plans.

Where do the salary bands come from?

Triangulated across Levels.fyi, Built-In, Payscale, Howdy (LATAM/India), Second Talent (APAC/MENA), LinkedIn Talent Insights, and HeroHunt time-to-hire data — refreshed quarterly.

What does "loaded multiplier" mean?

Cost-to-employer beyond base. Includes payroll taxes, benefits, equipment, and (region-specific) housing allowance, super, IR35 carve-outs, EOR fees. Defaults: US 1.30, UK 1.30, Germany 1.45, Singapore 1.30, Australia 1.25, India 1.20, UAE 1.20, Canada 1.25.

How does the build-vs-augment logic work?

Tight timeline + medium-density region + senior-or-above seniority → augment recommended for the bridge months. Build posture override respects your preference but still surfaces the gap.

When should I hire a junior vs a senior?

Pilot scale prefers junior-to-mid with a senior anchor. Mid and enterprise production scale need senior + staff layered, with leadership earlier (month 3-6).

When does augmentation win over hiring?

When time-to-hire exceeds half your timeline, when seniority is hard to source in-region, or when you need a deep skill for less than 6 months.

What's the typical time-to-hire in different regions?

Deep markets (US, UK, Germany, India): 2–4 months. Medium markets (UAE, Singapore, Australia, Canada, France, Netherlands): 3–6. Global-remote: 5–9 with EOR / tax complexity.

Are the JD templates authentic, or AI-generated boilerplate?

JD packs use a Buzzi-curated template per role with placeholders for your stack and AI-generated "About our AI work" blocks personalised to your inputs. Always reviewed by counsel before posting.

Do you cover regional labor laws?

Yes for the major contours: IR35 (UK), super (Australia), EOR / WIF (global), 13th-month pay (Germany / EU), DPDPA (India). The methodology page links to the authoritative sources.

How do remote-hiring tax complexities work?

Loaded multipliers reflect typical EOR fees (10–15%). For >5 remote hires, build a permanent establishment analysis — the methodology page includes the framework.

How does equity differ by stage?

Seed: 0.10–0.50% senior IC. Series A: 0.05–0.20%. Series B+: smaller, RSU-style at later stages. v1 reports band only — refined modelling planned.

What visa considerations apply?

H-1B (US), Skilled Worker (UK), Blue Card (EU), Green List (UAE), Tech.Pass (Singapore). Each adds 1–3 months to time-to-hire and constraints on seniority swaps.

How often are salary bands updated?

Quarterly refresh from primary sources, with hot-region overrides as labour markets move. Last verified date is shown in admin per band.

How confident are you in the salary data?

Source confidence scored 0.0–1.0 per band. Deep markets (US / UK / India) score 0.85+. Medium markets 0.65–0.80. Global remote 0.55–0.70. The methodology page calls out where uncertainty is highest.

Buzzi सेवाएँ

Hire करते-करते Ship करें. Buzzi उस टीम को augment करता है जो आप अभी बना रहे हैं.

आधा-दिन रिव्यू, 4-सप्ताह pilots, 12-सप्ताह production engagements. Senior AI engineers, MLOps, और applied scientists उन भूमिकाओं को संभालने के लिए तैयार जिनके लिए आप अभी भर्ती कर रहे हैं.

30-मिनट रिव्यू बुक करें