Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
€90к-140к/год
€48к€66кмедиана€88к
По похожим ролям (49) ~ €66к/год
На СНГ рынке: $3.6к/мес ($2.3к - $4.2к)
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Хорошая вакансия
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Высокая зарплата, доля в компании и практическая работа над внедрением ИИ в продакшен делают вакансию привлекательной, но обязательные офисный формат и немецкий C1+ заметно ограничивают гибкость.
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Только офисЗарплата выше рынкаИИ в продакшенеПонятная зона ответственностиНемецкий C1+
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (AI): Building production-grade agents, workflows, apps, and integrations for enterprise customer use cases with an accent on LLM APIs, data flows, security, and integration architecture. Focus on turning prototypes into company-wide rollouts, measuring business impact, and converting customer solutions into reusable platform patterns.
Location: On-site in Berlin, Germany, at the hirify.global office on Greifswalder Strasse 212. Workdays start at 8:30, with in-person collaboration.
Base salary: €90K–€140K annually, plus equity.
Company
hirify.global provides a secure, model-agnostic platform that brings leading AI models together and enables organizations to build agents, workflows, apps, and integrations.
What you will do
Run technical discovery for high-value customer use cases, mapping processes, systems, data flows, and constraints.
Design and build production-grade agents, workflows, Skills, Apps, and integrations from prototype through company-wide rollout.
Own advanced, beta-feature, and high-profile proof-of-concept implementations with the Account Owner.
Convert individual customer solutions into reusable patterns, templates, and platform resources.
Measure time savings, cost reduction, tool replacement, quality improvement, and time to value, then package the results into ROI stories.
Support partners with architecture reviews, scoping sessions, and targeted enablement while representing the technical voice of the customer internally.
Requirements
At least 3 years of experience building production software, data, or integration systems, ideally in a customer-facing role.
Hands-on experience with LLM APIs, agents, tool use, retrieval, workflow automation, and selecting suitable models and approaches.
Practical knowledge of data privacy, security, identity, and integration architecture.
Ability to scope work, translate business problems into technical designs, and explain technical trade-offs to executives.
Commercial awareness of customer retention and expansion outcomes.
Fluent German at C1+ level and fluent English required; on-site presence in Berlin required.
Nice to have
Experience at an AI-native company or early-stage startup.
Founder or early-employee experience.
Public projects such as MCP servers, open-source contributions, or shipped AI tooling.
Culture & Benefits
All roles include equity, with salary ranges tied to levels and discussed early in the process.
In-person collaboration with shared lunches and dinners.
Health-oriented routines including running and gym activities.
Calm but intense working environment focused on solving meaningful problems.
Most hiring processes are completed within two weeks.
Hiring process
Salary expectations and the appropriate level are clarified early in the process.
Most processes are completed within two weeks.
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