or apply directly on Toast's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Toast's roles stay open a median of 42 days
- Reposted
- No
- Salary listed
- No 0% of Toast's roles list one
- Ghost-job risk at Toast
- low 0 stale, 57 reposted of 346 open
- Hiring momentum
- 625 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Toast's own greenhouse board since 2026-08-03. Full hiring picture for Toast.
About this role
The Staff Software Engineer - AI/Agent Engineer will work on the Care Automation team at Toast, focusing on building AI-powered automations and workflows that enhance customer support operations. This role involves designing and implementing integrations with platforms like Salesforce and Amazon Connect, while collaborating with various stakeholders to improve the efficiency and effectiveness of customer care agents. Daily responsibilities include coding, testing, monitoring AI systems, and iterating on solutions based on feedback.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Toast as an employer.
What you need
- 5+ years of software engineering experience
- Hands-on experience building AI/ML systems in production
- Practical experience with large language models and agentic frameworks
- Strong backend engineering skills in Python, Java, or Go
- Experience with event-driven architectures and building integrations across enterprise systems
- Ability to evaluate trade-offs between automation accuracy, latency, and cost in production AI systems
Nice to have
- Experience with contact center platforms such as Salesforce Service Cloud or Amazon Connect
- Experience with Workato or another iPaaS platform
- Hands-on experience with RAG architectures and vector databases
- Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda)
Worth weighing
- No specific benefits listed in the posting
- Salary range provided but starting salary depends on skills and experience
- Role involves significant collaboration with various stakeholders which may impact individual autonomy
Summarised from Toast's posting. Read the full original.
Listed by Toast on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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