We are looking for an experienced Software Engineering Manager to lead a high-performing development organization in Del Mar, California. This role combines team leadership with active technical contribution, requiring someone who can guide engineers, shape architecture decisions, and remain closely involved in building modern software solutions. The ideal candidate brings a strong background in application development, a practical understanding of AI-driven systems, and the ability to deliver reliable results in a fast-moving environment.<br><br>Responsibilities:<br>• Direct software engineering activities across in-house team members, external partners, and distributed resources to ensure consistent execution and delivery.<br>• Set technical direction, define project goals, and maintain clear expectations around timelines, quality, and release readiness.<br>• Recruit, mentor, and evaluate engineering staff while fostering growth, accountability, and strong team performance.<br>• Work closely with business leaders and cross-functional stakeholders to align development efforts with organizational priorities.<br>• Participate in system architecture, software design, and hands-on development to support critical technical initiatives.<br>• Oversee production releases and track progress against milestones, addressing risks and dependencies before they affect delivery.<br>• Drive the development and implementation of AI-enabled applications, agent-based solutions, and workflow automation in production environments.<br>• Promote effective engineering practices, including code review, monitoring, security awareness, and continuous improvement across the development lifecycle.
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.