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Salary: USD 280,000 - 320,000 / annual
Anthropic is seeking an Applied AI Engineer to serve as a trusted technical advisor to AI-native startups building in the physical world, including robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will lead deep technical engagements with startup software and hardware engineering teams, helping them integrate Claude into their product development and internal engineering workflows.
Key responsibilities include:
- Serve as a deep technical advisor to high-potential startups, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and related domains
- Conduct hands-on pair programming and architecture reviews with startup teams to accelerate development and understand end-to-end engineering workflows from design and simulation through test, production, and operations
- Develop prototypes, technical documentation, evaluation suites, benchmarks grounded in real engineering tasks, and architecture diagrams that enable startups to build and scale with Claude
- Create reference implementations and sample code for integrating Claude with CAD, simulation, design tools, and industrial automation systems
- Collaborate with Applied AI Architects to maintain context and continuity across customer engagements
- Identify patterns across engagements related to applying AI to physical systems (e.g., reading drawings, 3D geometry, GD&T, latency constraints, physical safety) and build repeatable evaluations and solutions
- Create technical content including documentation, tutorials, and sample code for startup audiences
- Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events
- Travel to customer sites for workshops, implementation guidance, and relationship building
Requirements:
- Deep engineering experience in a physical discipline (mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering) gained by designing, building, or operating real hardware
- 4+ years of technical experience as a software engineer, ML/research engineer, robotics/controls engineer, hardware/systems engineer, or technical founder
- Production experience building LLM-powered applications (prompting, context engineering, agent architectures, evaluation frameworks, deployment at scale) OR a track record of successfully applying AI to real engineering work in design, simulation, test, or production
- Experience with startups or high-growth companies and comfort working with founders and small teams
- Strong technical communication skills to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware audiences
- Ability to run technical workshops, hackathons, or developer-focused events
- Collaborative approach with generalist capabilities to context-switch across domains (robotics, chips, aerospace, manufacturing) and get up to speed quickly
- Bachelor's degree or equivalent combination of education, training, and professional experience in a field relevant to the role
- Visa sponsorship available
