Founding AI Engineer
Machine Learning EngineerData
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Quick Summary
Overview
Role scope Designing and implementing production-grade agentic systems that power web experiences and marketing workflows,
Technical Tools
Machine Learning EngineerData
- Designing and implementing production-grade agentic systems that power web experiences and marketing workflows, leveraging advanced prompt engineering and multi-agent architectures to do so
- Architecting and optimizing RAG (Retrieval-Augmented Generation) systems with context engineering
- Strengthening our engineering processes through robust evals, observability, and testing
- Developing and maintaining the core application across frontend, backend, and infrastructure
- Shaping our technical vision and leading architectural discussions. You'll make foundational decisions that influence both Flint's technical architecture and engineering culture.
- Creating and testing prototypes to gather rapid feedback from users
Requirements
~1 min read- You are a product-first engineer
- You have built and deployed AI products that real users depend on
- You have extensive hands-on experience with prompt engineering, context optimization, and model fine-tuning
- You have strong full-stack engineering skills with experience integrating AI into web applications
- You regularly use AI IDEs like Cursor or Windsurf to code
- You take ownership of problems from start to finish and are eager to learn whatever you need to succeed
- You’re comfortable in a fast-paced environment with evolving requirements
- You have enthusiasm for building MVPs and iterating based on user feedback
- You have experience using AI for design system automation and component generation.
- You have a lived understanding of using a website builder (e.g. Webflow or Framer) and/or CMS (e.g. Sanity, Contentful, Strapi).
- Former founder or early-stage founding employee experience.
Location & Eligibility
Where is the job
San Francisco, United States
On-site at the office
Who can apply
US
Listing Details
- Posted
- December 4, 2025
- First seen
- September 26, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 8
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- October 5, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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