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Staff Engineer

AI is only as powerful as the tools it can access. Model Context Protocol (MCP) is emerging as the standard for connecting AI to tools & systems—but enterprises can’t adopt it safely without security, observability, and control. That’s where we come in.

At Runlayer, we're building the AI enablement layer for modern enterprises. Our platform enables organizations to safely connect agents to their systems through MCP, with the security, auditability, and management enterprises demand. We’re a well-funded early-stage team that built Zapier's AI platform.

Why You'll Thrive Here

  • Impact: Directly influence the technical direction and capabilities of our core platform, enabling transformative outcomes for our users and customers.

  • Excellence: Collaborate with top engineers and visionary leaders at the intersection of AI, infrastructure, and product development.

  • Ownership: Take end-to-end responsibility for key projects, from idea to deployment, iterating quickly to deliver tangible value.

What You'll Do

  • Architect and implement robust, scalable systems that underpin our platform and customer solutions.

  • Tackle unique integration, data transformation, and workflow challenges using a combination of traditional coding and AI technologies.

  • Work directly with stakeholders—including enterprise customers—to gather requirements and translate business needs into technical solutions.

  • Rapidly prototype, validate, and iterate on new features and product ideas based on feedback and real-world usage.

  • Mentor and collaborate with other engineers, setting exemplary standards for code quality, technical design, and problem-solving.

  • Contribute to the evolution of engineering best practices and core platform capabilities.

What We're Looking For

  • Extensive software engineering experience (typically 7+ years), including system architecture, design, and hands-on development with modern languages

  • Demonstrated ability to deliver solutions in customer-facing, high-impact environments.

  • Deep experience building, integrating, and deploying APIs, as well as familiarity with databases and enterprise systems.

  • Proven track record working with or building systems involving AI/ML technologies.

  • Excellent collaboration and communication skills—you can connect technical and business domains seamlessly.

  • Ability to thrive in a fast-paced, iterative environment, balancing rapid delivery with technical excellence.

What We Offer

We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.

  • Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.

  • Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave.

  • Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.

  • Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.

  • Health benefits — comprehensive health, dental, and vision coverage.

  • Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.

Not quite the right fit? Reach out to [email protected] with details about your experience and interests.

Average salary estimate

$220000 / YEARLY (est.)
min
max
$180000K
$260000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 17, 2025
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