Senior​/Staff Engineer - AI Enablement

Qualifications

• 7+ years of hands-on engineering experience, particularly in system design
• A strong background in developing API-driven, integration-heavy platforms
• Experience working in customer-facing or enterprise environments
• Familiarity with AI/ML systems or tooling focused on intelligent agents
• A proactive mindset with high ownership, coupled with excellent communication skills
• Experience with Model Context Protocol (MCP) or similar agent/tooling standards
• Knowledge of agent security, permission management, and observability practices
• Experience in building enterprise-scale platforms
• Enjoy high-impact ownership within a small, agile team
• Directly influence a pioneering AI standard that is set to make waves

Responsibilities

• Design and build scalable backend and integration systems that drive our platform
• Develop APIs to seamlessly connect AI agents with enterprise tools and data
• Tackle real-world challenges related to integration and data transformation
• Engage directly with customers to gather valuable feedback and iterate rapidly
• Own projects from inception to production, ensuring quality and effectiveness
• Help establish engineering standards while mentoring and guiding teammates
• Work with real enterprise customers and production use cases for impactful results

Full Description

Position: Senior / Staff Engineer - AI Enablement

Location: San Francisco or New York City (Hybrid)

About the Role

Join our client, a trailblazer in the enterprise Model Context Protocol (MCP) space, as they develop the AI enablement layer that empowers companies to securely integrate AI agents with their internal tools.

This dynamic platform prioritizes strong controls around permissions, observability, and auditability, making it essential for enterprises embracing the future of AI.

We are seeking a Senior/Staff Engineer who can not only architect but also deliver core platform systems while collaborating closely with enterprise customers.

This is a high-ownership, early-stage opportunity where your contributions will shape foundational infrastructure and guide how enterprises implement MCP in their production environments.

What You'll Do

• Design and build scalable backend and integration systems that drive our platform.

• Develop APIs to seamlessly connect AI agents with enterprise tools and data.

• Tackle real-world challenges related to integration and data transformation.

• Engage directly with customers to gather valuable feedback and iterate rapidly.

• Own projects from inception to production, ensuring quality and effectiveness.

• Help establish engineering standards while mentoring and guiding teammates.

What We're Looking For

• 7+ years of hands-on engineering experience, particularly in system design.

• A strong background in developing API-driven, integration-heavy platforms.

• Experience working in customer-facing or enterprise environments.

• Familiarity with AI/ML systems or tooling focused on intelligent agents.

• A proactive mindset with high ownership, coupled with excellent communication skills.

Nice to Have

• Experience with Model Context Protocol (MCP) or similar agent/tooling standards.

• Knowledge of agent security, permission management, and observability practices.

• Experience in building enterprise-scale platforms.

Why This Role

• Enjoy high-impact ownership within a small, agile team.

• Directly influence a pioneering AI standard that is set to make waves.

• Work with real enterprise customers and production use cases for impactful results.

• Participate in a fast, founder-led interview process that values your time.

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Engineer Ai Enablement

• Hayward, CA, United States

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