Senior AI Engineer

• Own the design and evolution of core capabilities within internal AI agent platform to support high-impact business workflows and AI agents.
• Define and improve deployment patterns, shared services, and orchestration approaches that enable complex agent use cases to run reliably.
• Partner with business stakeholders to translate high-priority strategic goals into scalable AI agent solutions.
• Work hands-on with builders to debug issues, answer technical questions, and unblock day-to-day development while also improving the underlying platform.
• Investigate failing repositories, run code locally when needed, and fix infrastructure or environment issues at the root cause.
• Build and maintain shared services—such as reusable modules, integration layers, logging patterns, and data access approaches—that multiple teams can leverage.
• Drive decisions around observability, governance, permissions, reliability, and cost-aware usage to ensure AI transformation is sustainable and secure.
• Help set technical direction for how new capabilities should be designed to create durable foundations rather than one-off solutions.
• Collaborate across engineering and business functions to identify and shape new high-value opportunities for agent-led innovation.

• 5+ years of hands-on experience in software engineering, platform engineering, solutions engineering, infrastructure engineering, or a similar technical role.
• Strong ability to design and implement production-ready systems across APIs, services, integrations, and data flows.
• Experience working with cloud environments and modern application deployment patterns.
• Comfort troubleshooting complex technical issues across infrastructure, application logic, and third-party integrations.
• Prior experience building internal platforms, shared services, developer tooling, or reusable technical foundations.
• Strong understanding of system design, reliability, scalability, and security considerations.
• Demonstrated ability to take ownership of ambiguous technical problems and drive them from design through implementation.
• Experience defining technical patterns, processes, or standards that other builders rely on.
• Practical experience working with AI-powered applications, agent architectures, LLM-based workflows, or adjacent systems.
• Strong communication skills and the proven ability to work cross-functionally in a fast-moving environment.
• Comfort with ambiguity and a strong builder mentality with a bias toward practical execution.

Pay range: $148K - $203K

• Comprehensive Health & Wellness including a fully-covered High Deductible Health Plan (HDHP), telehealth services, and Calm subscription.
• Access to LinkedIn Learning, professional development programs, and career growth opportunities.
• Open PTO for work-life balance.
• Generous 401(k) matching with immediate vesting, quarterly perks, and a four-week paid sabbatical with bonus after five years.