Элитная возможность в одной из ведущих AI-лабораторий мира с передовым стеком, хотя и требует высокой мобильности и знания французского на уровне носителя.
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Много разъездовЖесткий req по языкуЗарплата не указанаПередовой стекТоповая компанияПонятный скоуп
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Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (AI): Building and deploying production applications with Claude models and enterprise AI artifacts such as MCP servers, sub-agents, and agent skills with an accent on LLM application development, customer workflows, and safe, reliable deployment. Focus on designing advanced agents, evaluating and scaling production systems, supporting enterprise deployments, and codifying repeatable implementation patterns.
Location: Munich, Germany; hybrid policy requires staff to be in one of the offices at least 25% of the time, with frequent travel of 25–50% to customer sites.
Visa sponsorship: Anthropic sponsors visas and provides immigration lawyer support, subject to role and candidate eligibility.
Company
Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
Build production applications with Claude models inside customer systems.
Deliver production-ready technical artifacts such as MCP servers, sub-agents, and agent skills.
Provide white-glove deployment support for Anthropic products in enterprise environments.
Identify repeatable deployment patterns and share implementation insights with Product and Engineering.
Build long-term customer relationships and identify new AI deployment opportunities.
Travel frequently to customer sites and collaborate in person on enterprise AI deployments.
Requirements
8+ years of experience in a technical, customer-facing role, Forward Deployed Engineering, software engineering with consulting experience, or a comparable background.
Native German and fluent English.
Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills in Python and experience shipping production applications; additional languages such as TypeScript or Java are useful.
Ability to work autonomously, navigate ambiguity, collaborate across organizations, and communicate technical concepts to diverse stakeholders.
Bachelor’s degree or equivalent combination of education, training, and experience in a relevant field.
Nice to have
Background in financial services, healthcare, life sciences, or another enterprise vertical.
Experience with enterprise IT systems or AI deployment patterns.
Experience as a technical founder.
Culture & Benefits
Collaborative environment focused on safe, trustworthy, and steerable AI.
Flexible working hours and office-based collaboration.
Generous vacation and parental leave.
Competitive compensation and benefits with optional equity donation matching.
Research discussions and collaboration across research, engineering, policy, and business teams.
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