Toast
Enterprise · Restaurant POS
- Website
- toasttime.co.uk
Toast currently has 32 active AI-related job listings. The majority of these roles, 91%, are focused on agents, with a smaller number in serving infrastructure and application stages. Engineering roles represent the largest functional area, with hiring concentrated in Ireland and the United States. Frequent tech tags include agent_orchestration, llm_observability, and tool_use, suggesting a focus on agent development and management. Over the last 30 days, Toast has added 23 new AI roles, marking a 283% increase compared to the preceding 30-day period.
Enterprise · Restaurant POS
Toast currently has 31 active AI-related roles in our index. The most common open titles are: Principal Software Engineer - AI Pod (Dublin, Ireland) (3), Senior Principal Software Engineer - AI Pod (2), Senior Principal Software Engineer, AI Agents (Dublin, Ireland) (2), GTM Enablement Engineer, GTM Engineer - Sales Workflow Automation, Revenue Intelligence. Most positions are in Engineering and Product.
Toast's active AI hiring is concentrated in: agents (90%), serving infrastructure (6%), application (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Toast is hiring AI talent in: Ireland (15 roles), United States (10 roles), India (4 roles), Canada (2 roles).
Job postings at Toast most frequently reference: agent orchestration, tool use, llm observability, model serving, inference infra.
In the past 30 days, Toast has posted 19 new AI-related roles.
Currently tracking 26 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $94k–$368k (avg $212k).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer 2 (MLOps) Machine Learning Engineer II at Toast, focusing on building and deploying scalable ML and agentic AI pipelines, developing APIs, and implementing microservices with a focus on latency, reliability, and performance. The role involves MLOps best practices, model deployment, orchestration, and monitoring, working closely with cross-functional teams to deliver ML-powered products. | ServeAgent | 7 |
| Staff Software Engineer(MLOps) Staff Machine Learning Engineer to design and lead the evolution of a unified MLOps platform supporting diverse needs across Toast, ensuring high availability, scalability, and security of ML services. This role involves championing MLOps best practices, leading collaborative efforts between Data Engineering, DevOps, and Product teams, defining technical vision for AI infrastructure, setting standards for observability and incident response for ML systems, and mentoring engineers. |
| ServeData |
| 7 |