
Senior Director of Engineering, AI Agents
Posted Sep 18

Posted Sep 18
This is a fully remote position, open to applicants in Utah.
• Take ownership of the technical architecture and roadmap for Podium's AI agent platform, which includes orchestration, tool-use frameworks, memory, and reasoning systems.
• Lead and expand a team of engineers responsible for developing and maintaining production agent systems.
• Establish the technical standards and remain actively involved in design, coding, and incident management.
• Develop and enhance both offline and online evaluation infrastructure, quality metrics, and feedback mechanisms.
• Propel new agent capabilities and workflows from conception to execution, then optimize systems for reliability, latency, and scalability.
• Collaborate with the Product team to convert business objectives into agent functionalities and prioritize technical initiatives.
• Work alongside Infrastructure and Platform teams on aspects such as observability, cost-effectiveness, resilience, model routing, latency budgets, fallback behavior, and safety measures.
• Engage directly with customers and Sales, Customer Success, and Support teams to assess agent performance and provide insights for the roadmap.
• Set best practices for prompt/context engineering, agent testing, safety protocols, and responsible deployment of autonomous systems.
• Represent AI Agents engineering in leadership discussions and evaluate build-versus-buy and model-versus-vendor decisions.
• Over 10 years of software engineering experience, with substantial time spent in engineering leadership positions (Director, Head of Engineering, or equivalent as a hands-on leader).
• Proven experience in building and operating production systems driven by LLM or agentic technologies that serve real users with significant reliability demands.
• Extensive knowledge of applied AI architecture, including orchestration frameworks, tool/function-calling patterns, retrieval-augmented generation (RAG), and context management.
• Insight into the trade-offs between latency, cost, and quality.
• A history of developing and scaling evaluation systems for non-deterministic software.
• Experience leading projects from "0 to 1" and refining them from "1 to scale."
• Strong ability to collaborate cross-functionally with Product, Infrastructure, and customer-facing teams.
• Effective communication skills to align technical choices with business goals.
• Proficiency with modern AI coding tools such as Claude Code, Codex, Cursor, or similar technologies.
• Experience in creating agent systems for customer-facing, revenue-critical applications (preferred).
• Familiarity with voice AI, conversational AI, or real-time multimodal systems (preferred).
• Background in a fast-growing SaaS or vertical software organization, particularly those serving SMB clients (preferred).
• An informed perspective on the cutting edge of agentic AI (preferred).
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Opportunities for professional growth and development.
• A vibrant company culture that values diversity and inclusion.
Rich Products Australia
Coursedog
DaCodes.
DaCodes.
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