Applied AI Engineer — Life Sciences Deployments

EngineersOfAI; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Anthropic is seeking an Applied AI Engineer to join the Beneficial Deployments team, focused on maximizing Claude's impact in the life sciences. We aim to accelerate scientific progress from R&D through translation by building the technical infrastructure to back that up.

You'll work directly with flagship research partners, embedded in their scientific workflows, building alongside engineers and prototyping agents that fit into real research pipelines and ecosystem-level tooling to extend

Qualifications

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder with production experience shipping systems used by real users.
• Deep research experience in life sciences, biomedical research, or scientific computing.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• Scrappy mentality, ability to wear multiple hats, and drive clarity in ambiguous situations.

Responsibilities

• Partner with flagship life sciences research institutions to understand workflows and integrate production systems into their day-to-day research.
• Develop reusable ecosystem infrastructure, including domain data sources, instruments, benchmarks, and agent skills for broad adoption.
• Identify hard deployment challenges in life sciences and relay findings to product, engineering, and research teams.
• Create technical content and documentation to enable partners to self-serve and scale usage globally.

Skills

LLM tooling

Context engineering

Agent architectures

Evaluation frameworks

Production software

Job description

Anthropic is seeking an Applied AI Engineer to join the Beneficial Deployments team, focused on maximizing Claude's impact in the life sciences. We aim to accelerate scientific progress from R&D through translation by building the technical infrastructure to back that up.

You'll work directly with flagship research partners, embedded in their scientific workflows, building alongside engineers and prototyping agents that fit into real research pipelines and ecosystem-level tooling to extend