Anything
Backend Engineer - AI
San Francisco · Senior
Sponsorship not specifiedDetected 219 days ago
TypeScriptResearchProblem Solving
About the role
- Anything Anything is the AI product engineer for the next wave of entrepreneurs.
- It's an AI agent that turns English into apps.
- Launched Aug 7th. https://x.com/anything Hit $5m rev and growing quickly Try it at anything.com Role What this role is This role is for people who want to grow faster than they could anywhere else.
Responsibilities
- Grab the #1 priority and relentless to deliver.
Requirements
- Evidence of ambitious, self-driven projects or internships that required problem solving and ownership
- Exceptional ability to read deeply, reason clearly, and communicate complex ideas
- Experience working in fast-paced environments while balancing care with urgency.
Nice to have
- Prior internships in AI, backend, or infrastructure engineering
- Previously been one of the first 10 hires at startup
- Personal projects that show initiative, creativity, and independent thinking
- Why this role matters
- You will grow more in one year here than in several years at a typical company.
- You will take on challenges that stretch your abilities and solve problems that materially shape the future of the product.
- Cycles are hours, not weeks.
- Hard to outwork.
Skills
- Break down complex or unclear problems into clear steps and propose practical solutions
- Make thoughtful tradeoffs between speed, correctness, and long-term maintainability
- Talk with users and use the product yourself to understand real-world needs and opportunities
- Push through obstacles with resourcefulness and a strong problem-solving mindset
- Learn new concepts quickly and apply them to real production challenges
- Stay up to date on the latest in AI research and engineering
- Take on tasks that stretch your abilities and work hard to close skill gaps quickly
- Contribute to a culture of ownership, ambition, and fast-paced learning
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This listing is sourced directly from Anything's careers page and normalized into a canonical job model.