> Markdown version of [/jobs/ext/4437458-software-engineer-product-at-scaled-cognition](https://www.wearedevelopers.com/jobs/ext/4437458-software-engineer-product-at-scaled-cognition). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Product at Scaled Cognition - **Company:** Scaled Cognition - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Software Engineering, TypeScript, Google Cloud, Cloud Platform System, Large Language Models, Virtual Agents - **Published:** October 13, 2026 - **Apply:** https://www.juju.com/job/16_841e6da57 ## About the Role * 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. ## Description 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.