Applied AI Engineer, Startups (Life Sciences)

As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to top AI-native life sciences and biotech startups. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build products on Claude and run their own research with it. You'll bridge the gap between what Claude can do and what the life sciences need, working alongside Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams.

• Serve as a deep technical advisor to high-potential life sciences and biotech startups, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development.
• Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews, understanding their scientific workflows end to end.
• Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams.
• Create reference implementations and sample code, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows.
• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements.
• Identify patterns across engagements and contribute insights back to Product, Engineering, Research, and the broader Applied AI team.
• Create technical content for startup audiences including documentation, tutorials, and sample code.
• Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells.
• Travel to customer sites for workshops, implementation guidance, and relationship building.

• Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development.
• 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications (including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale) or a track record of successfully applying AI to real scientific work.
• Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly.
• Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences.
• A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial.

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Annual Salary: $280,000—$320,000 USD