Applied AI Engineer, Startups (Life Sciences)
$280k - $320k • San Francisco, CA | New York City, NY
Posted 7h ago
Job Location
San Francisco, CA | New York City, NY
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native life sciences and biotech startups. You will partner directly with startup engineering and scientific teams to help them build products on Claude and integrate it into their research workflows. Your role involves advising on implementation and agent design, bridging the gap between Claude's capabilities and the needs of the life sciences sector. You will collaborate with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams to help startups innovate at the forefront of AI in science. This includes developing custom evaluation frameworks, designing scalable architectures, and creating essential technical resources to ensure their success.
Responsibilities
- Act as a deep technical advisor to life sciences and biotech startups, assisting them in building innovative use cases with AI for scientific research and development.
- Engage hands-on with startup engineering teams and scientists through pair programming and architecture reviews to accelerate their development and understand their scientific workflows.
- Develop prototypes and technical documentation, including evaluation suites, benchmarks, AI engineering techniques, and architecture diagrams, to enable startups to build, operate, and scale with Claude.
- Create reusable reference implementations and sample code for common scientific workflows and domain-specific data sources.
- Collaborate with Applied AI Architects to ensure continuity across customer engagements.
- Identify challenges in deploying AI in life sciences and provide insights to Product, Engineering, and Research teams regarding model capabilities and product features.
- Create technical content such as documentation and tutorials for startup audiences.
- Represent Anthropic within the life sciences startup ecosystem and foster community engagement through various events.
- Travel to customer sites for workshops, implementation guidance, and relationship building.
Requirements
- Deep experience in life sciences or biotech (e.g., genomics, drug discovery, molecular design) with expertise in bridging AI capabilities with scientific needs.
- 4+ years of technical experience as a software engineer, ML/research engineer, computational biologist, research scientist, or technical founder.
- Production experience building LLM-powered applications (prompting, context engineering, agent architectures, evaluation, deployment) OR a track record of applying AI to scientific work.
- Experience with startups or high-growth companies and a preference for working with fast-moving small teams.
- Strong technical communication skills, capable of translating complex AI concepts for engineering and scientific audiences.
- Ability to run technical workshops, hackathons, or developer-focused events.
- Collaborative approach, ability to context-switch across scientific domains, and passion for safe and beneficial AI technology.