Forward Deployed AI Engineer

Forward Deployed AI Engineer Compensation: $200K–$350K (target) + top-tier equity | Exceptional candidates can reach ~$400K Location: San Francisco, CA (5 days/week in office) Work Policy: On-site only Stage: YC-backed AI infrastructure startup | Recently closed a major funding round | Strong revenue with multi-million-dollar Fortune 500 contracts Hiring Count: 2

Who Are We? We’re a fast-growing AI infrastructure startup building the systems that help platforms manage trust and safety at massive scale. Our unified platform allows companies to integrate safety tooling, moderation workflows, and enforcement systems dramatically faster than traditional approaches.

Built by engineers who previously developed trust and safety infrastructure at major technology companies, our product applies AI agents to billions of events per day to protect users from spam, scams, and abuse.

The company has recently closed a significant funding round and already generates meaningful enterprise revenue, including multi-million-dollar contracts with Fortune 500 companies. With strong product-market fit and rapid growth, we are scaling our engineering team quickly and moving fast to bring top talent on board.

What’s in It for You? Extremely competitive compensation at the very top end of the market, including meaningful early equity. Opportunity to work directly with founders and enterprise customers solving real problems at massive scale. Build and deploy AI-powered systems used by major global companies. Join a team shipping fast, where ideas go from concept to production quickly. High-impact role combining engineering, AI systems, and customer-facing technical leadership. Platinum-tier medical, dental, and vision insurance. Unlimited PTO and additional wellness benefits including lunch and wellness stipends.

What Will You Do? Own the end-to-end integration strategy for deploying the platform within enterprise customer environments. Work directly with customers to understand their data, workflows, and safety challenges. Build GenAI-powered agentic workflows and automation that process billions of events. Serve as the primary technical point of contact for enterprise users. Configure, deploy, and optimize the platform within complex customer environments. Write automation scripts and integrations while contributing to the core product when needed. Help shape product direction through direct exposure to real-world customer use cases.

What Will You Need? 2–7 years of experience in software engineering, machine learning engineering, or technical deployment roles. Experience working directly with enterprise customers in a technical capacity (post-sales deployment, integration, or implementation roles preferred). Strong programming ability in Python, Java, TypeScript, or similar languages. Experience working with AI systems such as LLMs, generative AI platforms, or other machine learning solutions. Strong communication and interpersonal skills with the ability to translate complex technical concepts to customers. Comfort working in fast-paced startup environments with high ownership and ambiguity.

Strongly Preferred Experience deploying enterprise B2B SaaS products in customer environments. Experience at high-growth startups or technically demanding engineering teams. Background working with AI/ML platforms, developer tools, or data infrastructure companies. Understanding of AI evaluation concepts such as precision, recall, and model performance measurement. Experience building integrations or automation across large-scale data systems.