Software Engineer, Product

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.

• 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.

• 3+ years of software engineering experience.
• Strong proficiency with Python and Type Script.
• 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.