Design and ship customer-facing APIs that expose new model capabilities, owning them from prototype through launch.
Partner with researchers to productionize new AI techniques, turning proofs of concept into reliable, low-latency services.
Work across the stack as needed, including backend services, inference infrastructure, SDKs, and internal tooling.
AssemblyAI builds best-in-class Voice AI models that power the next generation of voice applications, serving 600M+ inference calls monthly. It is a lean, capital-efficient, and fast-moving team of under 100 people, operating as a true meritocracy with outsized ownership and impact.
Work directly on building, deploying, and iterating on machine learning models and agentic workflow features to address real customer needs.
Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions.
Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions.
Federato provides an AI-native platform that spans the full insurance policy lifecycle to help insurers make better underwriting decisions and improve business outcomes. The company values a fast-paced, user-focused, and collaborative culture, emphasizing learning and fun while being well-funded by investors behind major tech companies.
Design and own the agent runtime and orchestration layer for app generation.
Build long-horizon agent workflows from prompt to plan, generation, validation, and publishing.
Develop robust evaluation systems including harnesses, regression testing, and quality loops.
Sekai is building an AI-driven consumer platform for creating, remixing, sharing, and playing interactive content. It is a Series A, remote-first company with $30M in funding from top-tier investors like Khosla and a16z, fostering a culture for ambitious, AI-native builders.