Scaled Cognition is an AI model lab building Super-Reliable Intelligence for the enterprise.
Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Software Engineer, Product at Scaled Cognition you will: - Develop and build intuitive user experiences and SDKs that are powered by our novel, intelligent models. - Develop tools and infrastructure for simulation, evaluation, and deployment of next-generation AI systems. - Work closely with research and infrastructure teams to translate cutting-edge model capabilities into delightful, reliable products. - Prototype fast, learn continuously, and ship ambitious ideas that redefine what’s possible in intelligent software. You might be the right person for the job if you: - Are passionate about building high quality products that solve real user needs. - Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities. - Thrive in ambiguous environments where you have the autonomy to define the path forward. - Enjoy collaborating across disciplines — from product to AI research to infrastructure — to make something new work in the real world. Key Qualifications: - 3+ years of software engineering experience. - Strong proficiency with Python and TypeScript. - Experience deploying secure, highly available customer-facing applications. - Experience deploying secure, scalable, customer-facing applications in production. - Familiarity with cloud architectures (AWS, GCP, Azure, etc.) and modern dev tooling. - (Bonus) Experience with LLM APIs, SDK design, and interactive systems involving intelligent agents.