Applied AI Engineer, Startups (Life Sciences)
Anthropic· Applied AI
Hybrid (San Francisco, CA), Hybrid (New York City, NY)$280k - $320kFull-timePosted 6d ago
About the role
Applied AI Engineer on the Startups team at Anthropic, advising life sciences and biotech startups on building and integrating Claude into research and product workflows. Lead technical engagements, develop evaluation frameworks, architectures, and reference implementations to enable startups to succeed with Claude in life sciences domains.
Responsibilities
- Serve as a deep technical advisor to high-potential life sciences and biotech startups, guiding use cases that push AI in scientific research and development
- Pair program and conduct architecture reviews with startup engineering teams and scientists to fit guidance into research pipelines
- Develop prototypes and technical documentation, including evaluation suites, benchmarks, AI engineering techniques, and architecture diagrams
- Create reference implementations and sample code (e.g., MCP servers for genomics, literature databases, and experimental repositories) with agent skills for scientific workflows
- Collaborate with Applied AI Architects to maintain context across engagements
- Identify patterns and gaps in deploying AI in life sciences; provide feedback to Product, Engineering, Research, and broader teams
- Create technical content for startup audiences (documentation, tutorials, sample code)
- Represent Anthropic across the life sciences startup ecosystem and foster community through events and webinars
- Travel to customer sites for workshops, implementation guidance, and relationship building
Qualifications
- Deep experience in life sciences or biotech (genomics, drug discovery, molecular design, lab automation, clinical development)
- 4+ years of technical experience as software/ML/research engineer, computational biologist, research scientist, or technical founder with production AI experience or strong lab/research AI track record
- Experience with startups or high-growth environments and working with founders
- Strong technical communication skills for architectural decisions and actionable plans; able to run technical workshops and events
- Collaborative, cross-domain, capable of switching contexts across scientific use cases
- Bachelor’s degree or equivalent in a field relevant to the role
Skills
Required:Technical advisory and consultingPair programmingEvaluation frameworks and benchmarksReference implementations and sample codeDocumentation and technical content
Nice to have:Public speaking and community engagement
Benefits
- Competitive compensation
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Last updated Oct 21, 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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