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SCScaled Cognition logo

Scaled Cognition

Mountain View

Software Engineer, Product.

FULL TIMEENGINEERING

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.

Pay
Not stated
Where
Mountain View · New York
Work
Not stated
Type
Full time
Posted
29 Jan, 2026
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