Applied AI Engineer, Startups (Life Sciences)

at Anthropic

📍 New York City, United States
📍 San Francisco, United States

USD 280,000-320,000 per year

MIDDLE

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Communication @ 6 LLM @ 3 Machine Learning

Details

As an Applied AI Engineer on the Startups team at Anthropic, you will advise AI-native life sciences and biotech startups as they develop products and research workflows using Claude. You will lead technical engagements, partner with engineering and scientific teams, and help design AI-powered products, agents, evaluation frameworks, and scalable architectures for life sciences applications.

You will work closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams. The role involves bridging Claude's capabilities with life sciences requirements, developing technical resources, and contributing insights about model capabilities and product features.

Responsibilities

Serve as a technical advisor to life sciences and biotech startups building products with Claude or using Claude in scientific discovery workflows.
Work hands-on with startup engineering teams and scientists through pair programming and architecture reviews.
Understand scientific workflows end to end and provide guidance that fits real research pipelines.
Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams.
Create reference implementations and sample code, including example MCP servers for genomics platforms, literature databases, and experimental repositories.
Develop agent skills for common scientific workflows.
Collaborate with Applied AI Architects to maintain context and continuity across customer engagements.
Identify recurring challenges in life sciences AI deployments, including heterogeneous data, auditability requirements, and the gap between prototypes and systems that scientists trust.
Contribute insights to Product, Engineering, Research, and the broader Applied AI team, including feedback on model capabilities and product features.
Create technical content for startup audiences, including documentation, tutorials, and sample code.
Represent Anthropic across the life sciences startup ecosystem through hackathons, webinars, technical office hours, founder events, and research presentations.
Travel to customer sites for workshops, implementation guidance, and relationship building.

Requirements

Deep experience in life sciences or biotech, including areas such as genomics, drug discovery, molecular design, lab automation, or clinical development.
At least 4 years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder.
Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale; or a track record of applying AI to scientific work in laboratory or research settings.
Experience with startups or high-growth companies.
Strong technical communication skills and the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for engineering and scientific audiences.
Experience running technical workshops, hackathons, or developer-focused events.
A collaborative approach, ability to work across scientific domains and use cases, and commitment to making technology safe and beneficial.
A bachelor's degree or equivalent combination of education, training, and experience.
Relevant field of study demonstrated through coursework, training, or professional experience.

Compensation

Annual salary: $280,000–$320,000 USD.

Logistics

Anthropic currently expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and makes reasonable efforts to support visa applications with the assistance of an immigration lawyer. The role is based in San Francisco or New York City.

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.