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Applied AI, Research Engineer

Anthropic· Applied AI
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Hybrid (San Francisco, CA / New York City, NY)$300k - $400kFull-timePosted 1mo ago

About the role

Applied AI Research Engineer role embedded within the Applied AI team to uncover capabilities of Anthropic's models, demonstrate value to customers, and translate field learnings into product and research insights. Combines research, field expertise, and cross-functional collaboration to support model launches, customer engagement, and enablement.

Responsibilities

  • Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
  • Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
  • Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
  • Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one
  • Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field
  • Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps
  • Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge
  • Travel occasionally to customer sites for workshops, implementation support, and research collaboration

Qualifications

  • 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users
  • A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed
  • Strong technical aptitude with strong proficiency in at least one programming language
  • Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
  • Experience designing evals, building prototypes, or developing technical enablement for complex products
  • The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics
  • Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
  • A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Skills

Required:Proficiency in at least one programming languageExperience with large language models (LLMs)Eval design and prototype developmentCustomer engagement and enablementCommunication and storytelling

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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