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

CoffeeSpace · San Francisco, CA

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About the jobThis role is being recruited by CoffeeSpace on behalf of an anonymous AI risk management platform startup. The company is focused on helping enterprises adopt AI securely by understanding and mitigating the risks associated with AI assets.

Location: San Francisco, California, United StatesCompensation: $130K - $180K base + competitive equityEmployment type: Full-timeAbout the companyThis company provides a comprehensive AI risk platform that assists enterprises in adopting AI securely.

It operates at the intersection of AI adoption and cybersecurity, helping Fortune 50 companies understand and manage the risks associated with third-party AI vendors. The company is backed by Y Combinator and Liquid 2 Ventures, has scaled to millions in recurring revenue, and is trusted by a large share of the world's biggest law firms.The team consists of 12 members and is expanding to 20. It is led by experienced founders with backgrounds in security, infrastructure, and AI product development.About the roleAs a founding engineer, you will build the platform from the ground up for real enterprise customers. You will have full autonomy over product development, from initial concept to deployment. You will architect LLM systems and data models, and work directly with customers and the go-to-market team to drive product improvements based on real feedback.What You’ll DoBuild LLM systems end to end and ship agentic workflows and RAG pipelines for enterprise customers.Design relational schemas and scalable pipelines for the platform.Own features and products outright with full autonomy over the outcome.Collaborate directly with customers and the go-to-market team to enhance the product.Implement continuous improvements based on feedback from Fortune 50 accounts.Why This Role Is CompellingYou’ll be part of a fast-growing team at the forefront of AI risk management.Your work will have a direct impact on real customers in sensitive industries like healthcare, finance, and law.You’ll enjoy a culture that values output over hours, with a focus on real ownership and decision-making.The company is backed by notable investors and has quickly achieved significant revenue milestones.The Ideal Candidate1-8 years of experience in a technical role.Proficient in Python, React, Next.js, LLMs, RAG Pipelines, and relational databases.Comfortable working in distributed systems and with agentic workflows.Strong communicator capable of engaging directly with enterprise customers.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.