Lead AI Engineer

• Lead the technical design and development of the Messaging 3.0 AI platform.
• Build production-grade AI agents using LLM orchestration, tools, context, evaluation, guardrails, and observability.
• Design and build scalable services using Java, Spring Boot, microservices, Kubernetes, and AWS.
• Design and implement Temporal workflows for long-running and failure-prone processes, including retries and compensation.
• Build and take the Notification AI Agent and Cadence Outreach AI Agent to production.
• Build next-best-action intelligence that enables agents to act autonomously and predictably toward the intended message outcome.
• Identify and solve AI agent reliability and unpredictability issues in production.
• Ensure the new architecture continues to cover use cases supported by the existing legacy monolith and microservices.
• Drive high-quality delivery and continuously improve engineering speed, quality, and reliability.
• Provide technical leadership and mentorship to engineers through influence rather than formal authority.

Additional Job Responsibilities

• Work across both greenfield and brownfield systems.
• Collaborate with engineers and stakeholders to establish technical direction and alignment.
• Own technical outcomes end to end, from design through production.
• Adapt as requirements and the architecture evolve.
• Evaluate and adopt new AI and agent technologies as the space changes.
• Build systems that are reliable and predictable in production, not just successful in demos.
  • Understand existing messaging systems well enough to avoid gaps in functionality during modernization.