AI Engineer

• People Management: Recruit, retain, and mentor engineers and engineering managers. Provide regular feedback; create opportunities for career growth; and foster a culture of collaboration and excellence.
• Technical & Organizational Leadership: Act as the people and technical leader for the AI Platform team. This includes owning the staffing and execution of the team, and driving work on model serving, training compute, agent serving platform, LLM gateway, and associated orchestration layers. You will guide architectural discussions and set top-level strategic direction for the company’s AI/ML infrastructure.
• Project Management: Work closely with stakeholders, including product managers, engineering managers, and AI/ML teams to plan, execute, and support multiple projects simultaneously. You will be responsible for the engineering process in the team and the output of the platform.
• Platform Ownership: Own the design, build, and operation of the core AI platform components, including:
• - Model serving and deployment infrastructure.
• - Compute and vendor management (e.g. GPU allocation).
• - MLOps pipelines and tooling.
• - Health, quality, and performance monitoring.
• - Training compute infrastructure.
• - LLM gateway and orchestration layers for agent serving.
• Champion Quality: Set a high standard for your team including software quality; communication; collaboration; and compliance with industry and regulatory standards.

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