Founding Engineer, Applied AI Platform ($130K - $180K + Equity) Comprehensive AI Risk Platform

About the jobThis role is being recruited by CoffeeSpace on behalf of an anonymous AI risk platform startup that helps enterprises adopt AI securely by understanding, assessing, and continuously mitigating the risk of their AI assets.We’re identifying a small number of exceptional founding engineers from our network. If there’s a strong fit, we’ll introduce you directly to the founding team.

Location: San Francisco, California, United StatesCompensation: $130K - $180K base + competitive equityEmployment type: Full-timeAbout the companyThis company provides a comprehensive AI risk platform that sits at the intersection of AI adoption and cybersecurity.

It assists Fortune 50 companies and major law firms in understanding and managing the risks associated with third-party AI vendors, enabling faster and more confident AI adoption. The company is backed by Y Combinator and Liquid 2 Ventures and has quickly scaled to millions in recurring revenue.The team, currently 12 strong and growing to 20, is led by founders with deep experience in security, infrastructure, and AI product development. The team values output and ownership over hours worked.About the roleAs a founding engineer, you will build the platform end-to-end for real enterprise customers. You will have full autonomy over products from inception to deployment, architecting LLM systems and data models, and working directly with go-to-market teams and customers.What You’ll DoBuild LLM systems end-to-end, including architecting and shipping agentic workflows and RAG pipelines for enterprise customers.Design relational schemas and scalable pipelines for the platform's data layer.Own features and products outright, driving them from 0 to 1.Collaborate directly with customers and go-to-market teams to move the product forward.Continuously iterate on the platform based on feedback from Fortune 50 accounts.Why This Role Is CompellingJoin a fast-growing AI risk platform with significant traction in enterprise markets.Work with a senior team where engineers are decision-makers who interact directly with customers.Be part of a mission-driven team helping sensitive industries adopt AI securely.Enjoy a culture that values output over hours, with real ownership of your work.The Ideal Candidate1 to 8 years of experience in a technical role.Proficiency in Python, React, Next.js, LLMs, RAG Pipelines, Agentic Workflows, Relational Databases, and Distributed Systems.Strong problem-solving skills and the ability to work autonomously.Comfortable with direct customer interaction and feedback-driven development.Next steps1. Apply via this LinkedIn job post2. We’ll review and reach out if there’s a strong match3. If aligned, we’ll introduce you directly to the team4. If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission.A quick note on authenticityThis is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.