About the job
At Runlayer, we are pioneering the connection between AI and enterprise systems through our innovative MCP framework. Developed in collaboration with industry leaders like Anthropic, OpenAI, Google, and Microsoft, our platform is setting the standard for secure AI integration.
Our dedicated team has successfully created AI Actions for OpenAI, delivered Zapier Agents to millions, and launched the first remote MCP server with Anthropic. We are committed to building solutions that empower enterprises to safely adopt MCP technology.
Runlayer serves as the control plane for enterprise MCP by providing robust security, observability, and management capabilities, enabling organizations to connect AI to their systems without compromising safety. Backed by $11M from Khosla Ventures and Felicis, we pride ourselves on having the creator of MCP as an investor.
With a small team of 15 engineers, we are rapidly innovating and signing on customers. Join us to be at the forefront of AI technology and its transformative potential.
Why You'll Thrive Here
Impact: Play a crucial role in shaping the technical direction of our core platform, delivering transformative results for our users and clients.
Excellence: Collaborate with leading engineers and visionary leaders at the intersection of AI, infrastructure, and product innovation.
Ownership: Take full responsibility for key projects, from conception to deployment, iterating quickly to provide significant value.
What You'll Do
Design and implement scalable, robust systems that support our platform and client solutions.
Address unique integration, data transformation, and workflow challenges using both traditional coding and AI technologies.
Engage directly with stakeholders, including enterprise clients, to gather requirements and translate business needs into technical solutions.
Quickly prototype, validate, and iterate on new features and product ideas based on feedback and real-world usage.
Mentor and collaborate with fellow engineers, setting high standards for code quality, technical design, and problem-solving.
Contribute to the advancement of engineering best practices and core platform capabilities.
What We're Looking For
Significant software engineering experience (typically 7+ years) with a strong foundation in system architecture.
Proficient in coding with a blend of traditional programming languages and AI technologies.
Strong analytical and problem-solving skills with a passion for mentoring others.

