Senior AI & ML Engineer

Role Overview

• Design, build, and ship LLM-powered features and agentic workflows that serve real Gametime users in production.
• Build and maintain evaluation frameworks, prompt testing pipelines, and regression suites that ensure quality and reliability of AI-powered experiences.
• Contribute to the orchestration layer, including agent routing, tool use, state management, and multi-step workflow coordination.
• Develop and optimize prompt optimization strategies, structured outputs, and LLM integration patterns across the platform.
• Propose architecture decisions and technical designs for review by the team's tech lead, balancing speed with long-term maintainability.
• Collaborate cross-functionally with product, engineering, and data teams to translate customer needs into AI system design.
• Stay current with the rapidly evolving LLM and agentic AI landscape, bringing practical new techniques into the team's toolkit.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5–8 years of professional software engineering experience, with at least 1 year of building LLM-powered or AI/ML systems in production.