Staff Software Engineer (NC)
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Prepare application
- Draft this with your agent
- Open in Claude
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Role details
Tech stack
Job description
A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product - but you wonât have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development thatâs hard to build anywhere else.
Most engineers look back at this as the biggest growth period of their career. But itâs possible you wonât like it - we recommend using the interview process to hear what our engineers think.
Requirements
- 8+ years of engineering experience, with deep care for the craft. Youâve shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines.
- Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.
- Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.
- High ownership mindset. You jump in without instruction, embrace a âno job too big, no job too smallâ mindset, and want to shape strategy and culture.
- Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty-with yourself and your team.
Benefits & conditions
Pulled from the full job description
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Flexible spending account
- Unlimited paid time off
- Commuter assistance, * Competitive Compensation Package: Attractive salary aligned with your experience and skills.
- 401k with Matching: Invest in your future with our company-matched retirement plan.
- Unlimited PTO: Take the time you need to relax and rejuvenate.
- Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.
- Health FSA: Manage out-of-pocket health expenses effectively.
- Commuter Benefits: Make your travel to work easier and more affordable.
- Life Insurance: Providing peace of mind for you and your loved ones.
- Team Events and Activities: Regular events to build camaraderie and a strong team spirit.
About the company
How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?
Anthropic is defining frontier AI. Ode is the team bringing frontier AI into practice.
We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed. As Anthropicâs services venture, we tackle the hardest, most consequential AI problems for companies with real stakes, working closely with their Applied AI and Product teams to turn frontier technology into real world impact.
Weâre backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital.
Weâre headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai., This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code.
Youâll work on a small, high-caliber team (2-5 engineers and a PM) building AI products for our clients. Youâll set technical direction, write code, and be the person the team looks to when something is hard.
Youâll spend roughly 75% of your time in code and 25% working directly with clients - often their CTOs - understanding problems, walking through tradeoffs, and making sure what weâre building meets their needs.
Most engineers take a decade to see this range of hard problems across this many domains. Here, youâll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices., * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the worldâs best applied AI team.
- Overuse AI: We obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with our teammates.
- Overâengineerâ the Culture: Weâre building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders.
Apply for this position
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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