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Datology AI

Software Engineer, Front-end

Redwood City$180k–$300kfulltimemidAdded 1 month ago

About this role

DatologyAI is seeking an experienced full-stack engineer to build customer-facing data curation products and internal tools that optimize AI training datasets. You'll work closely with founders on product direction and drive technical decisions for a well-funded startup backed by major investors and AI pioneers.

What you'll do

  • Own full product development lifecycle for customer-facing data curation features and internal infrastructure
  • Engage with customers and stakeholders to understand problems and design solutions
  • Collaborate cross-functionally with engineers, researchers, and designers on new capabilities
  • Ensure products and systems maintain high reliability, security, and trustworthiness
  • Develop core visualizations and tooling for dataset curation workflows
  • Maintain quality standards for design, correctness, and testing

What they're looking for

  • JavaScript/TypeScript
  • React and web technologies
  • Python
  • Full-stack and backend development
  • Production systems design
  • Software quality and testing practices
  • Problem-solving and end-to-end ownership
  • ML/AI experience (preferred)

Benefits

  • Competitive salary ($180K-$300K) plus meaningful equity
  • 100% covered health benefits (medical, vision, dental)
  • 401(k) with 4% company match
  • Unlimited PTO
  • 12 weeks paid parental leave plus 6 months WFH flexibility
  • $2,000 annual wellness stipend
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Datology AI

DatologyAI builds a data curation platform that optimizes AI training datasets to reduce costs and improve model performance. The company is hiring cloud infrastructure engineers, data platform engineers, full-stack product engineers, and solutions engineers to scale its multi-cloud infrastructure and customer-facing tools.

View all jobs at Datology AI

Likely interview questions

  • Walk us through a production full-stack feature you owned end-to-end. What were the key technical decisions, and how did you balance frontend, backend, and infrastructure concerns?
  • Tell us about a time you had to learn a new technology or domain quickly to solve a critical problem. How did you approach it?
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