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Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI) (LLM applications/enterprise AI): Building production applications with Claude models and delivering MCP servers, sub-agents, and agent skills for strategic enterprise customers with an accent on advanced prompt engineering, agent development, and reliable deployment at scale. Focus on embedding with customer teams, designing repeatable deployment patterns, and solving complex business challenges while maintaining AI safety and reliability.
Location: New York City, NY; San Francisco, CA; or Seattle, WA. Hybrid policy requires staff to work from one of the offices at least 25% of the time. Customer-site travel may be required, estimated at 25% depending on location.
Annual salary: $280,000–$320,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
- Embed with strategic enterprise customers and build production applications using Claude models.
- Deliver production-ready technical artifacts, including MCP servers, sub-agents, and agent skills.
- Provide deployment support for Anthropic products in enterprise environments.
- Identify repeatable deployment patterns and share implementation insights with Product and Engineering.
- Build customer relationships and identify new opportunities for AI deployment throughout engagements.
- Track developments in LLM capabilities, implementation patterns, and AI product development stacks.
Requirements
- 4+ years of experience in a technical, customer-facing role, Forward Deployed Engineering, software engineering with consulting experience, or a comparable background.
- Production experience with LLMs, advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills in Python and experience shipping production applications.
- Ability to navigate ambiguity, collaborate across organizations, and balance competing priorities.
- Strong communication skills for customer discovery and explaining technical concepts to diverse stakeholders.
- Bachelor’s degree or equivalent education, training, and experience in a relevant field.
Nice to have
- Experience in financial services, healthcare, life sciences, or another enterprise vertical.
- Experience with enterprise IT systems, AI deployment patterns, FDE work, or professional services.
- Experience with TypeScript, Java, or another additional programming language.
Culture & Benefits
- Collaborative work focused on safe, trustworthy, and steerable AI.
- Flexible working hours and office collaboration.
- Generous vacation and parental leave.
- Competitive compensation, benefits, and optional equity donation matching.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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