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Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI) (LLM applications and enterprise deployment): Building production applications with Claude models and delivering technical artifacts such as MCP servers, sub-agents, and agent skills for strategic customers with an accent on advanced prompt engineering, agent development, and deployment at scale. Focus on embedding with enterprise customers, solving complex business challenges, supporting in-person deployments, and codifying repeatable AI deployment patterns.
Location: London, UK; hybrid policy requires staff to be in an Anthropic office at least 25% of the time. Frequent travel to customer sites is required, approximately 25–50%.
Annual salary: £225,000–£255,000 GBP
Company
Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
- Embed with strategic customers and build production applications using Claude models within customer systems.
- Deliver production-ready technical artifacts, including MCP servers, sub-agents, and agent skills.
- Provide high-touch 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 opportunities for further AI adoption.
- Travel frequently to customer sites and represent Anthropic’s mission in the field.
Requirements
- 4+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer or Software Engineer with consulting or product experience.
- 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; TypeScript, Java, or another additional language is beneficial.
- Ability to operate autonomously, navigate ambiguity, and collaborate across organizations.
- Strong communication skills for customer discovery and explaining technical concepts to diverse stakeholders.
- Bachelor’s degree or equivalent education, training, or relevant professional experience.
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, beneficial, and trustworthy AI.
- Flexible working hours and generous vacation and parental leave.
- Competitive compensation and optional equity donation matching.
- Visa sponsorship may be available, with immigration-lawyer support, depending on the role and candidate.
- Regular research discussions and collaboration across research, engineering, policy, and business teams.
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