> Markdown version of [/jobs/ext/4688299-founding-engineer](https://www.wearedevelopers.com/jobs/ext/4688299-founding-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Engineer - **Company:** Recruiting from Scratch - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $170,000 - $250,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Software Engineering, Reinforcement Learning, Scripting - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/founding-engineer-san-francisco-ca--b667ee1c-ef3e-41fe-857b-7557f6d3c60a ## About the Role Software Development, Seed Funding, Artificial Intelligence (AI), Performance Management, Workflow Analysis, Product Planning, Software Engineering, Python Programming/Scripting Language, Resolve Customer Issues, Startup, * 2-5 years of experience in software engineering, with a strong proficiency in Python. * Proven ability to build and scale coding environments in response to customer needs. * Experience working in a startup environment or with early-stage companies. * Strong problem-solving skills and a capacity to translate complex requirements into technical solutions. Preferred * Familiarity with AI and machine learning concepts, particularly in reinforcement learning. * Experience in building internal tools or workflows that support operational efficiency. * Previous engagement with enterprise-level clients or projects. ## Description * Own and deliver core product and infrastructure systems end-to-end, ensuring high performance and scalability. * Collaborate directly with founders to define engineering priorities and execution strategies that align with business goals. * Engage with enterprise customers to analyze domain workflows and translate them into actionable tasks for agent training environments. * Design and implement workflows and internal tools that enhance the efficiency of expert labelers and coding specialists. * Make critical decisions that impact product direction, roadmap, and the overall culture of the organization.