Job Title: Founding AI Engineer Company Name: Stripecraft Job Url: https://wellfound.com/jobs/3907435-founding-ai-engineer Job Description: Stripecraft Actively Hiring Building applied AI infrastructure that turns reasoning into real-world execution Save Apply Now Founding AI Engineer $100k – $180k • No equity | Remote ( Everywhere ) |5 years of exp |Full Time Posted: yesterday• Recruiter recently active Hires remotely in Everywhere Remote Work Policy Remote only Company Location California Visa Sponsorship Not Available Preferred Timezones Pacific Time Relocation Allowed Skills Python TypeScript About the job About the role We’re hiring a Founding AI Engineer to help design and build the core AI systems that power our product. This is a hands-on role focused on shipping production-grade AI and agentic systems, not research prototypes. You’ll work directly with the founding team and play a key role in shaping both the technical architecture and the product itself. What you’ll do Own AI capabilities end to end, from system design through production deployment and iteration Build and evolve multi-agent systems, including orchestration, tool-calling, and workflow execution Develop evaluation frameworks, observability, state management, and explainability to ensure reliability, transparency, and auditability Extend AI systems from reasoning and synthesis into real-world execution across internal and external systems Collaborate closely with founders, engineers, designers, and domain experts to translate customer needs into robust AI-driven products Help set engineering standards and technical direction as an early member of the team Tech stack Backend / AI: Python Application layer: TypeScript Frontend: React Cloud & infrastructure: AWS and modern DevOps tooling This role is backend- and AI-leaning, but comfort working across the stack is expected. Who you are 5+ years of experience building and operating production systems, ideally with applied AI or ML components Strong software engineering fundamentals with a track record of shipping real products Comfortable working in ambiguous, fast-moving, early-stage environments with high ownership Actively uses modern AI tools and has informed opinions about their strengths and limitations Able to think beyond isolated technical tasks and engage with product, user, and business context