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# AI/Agent Engineer

- **Company:** Toast, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $193,000.0 - $309,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Software Quality, Code Review, Programming Tools, Python (Programming Language), Operational Data Store, Azure Machine Learning, Salesforce.Com, Software Engineering, Amazon Connect, Large Language Models, Prompt Engineering, Zapier, Reliability of Systems, Event Driven Architecture, Information Technology, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/07a1c34b-ba79-4a4a-974d-eb703c5559b7

## About the Role

* 5+ years of software engineering experience, with meaningful hands-on experience building AI/ML systems in production
 * Practical experience with large language models, agentic frameworks (such as LangChain, LangGraph, or similar), and prompt engineering
 * 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
 * Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Bonus Ingredients (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)

## Description

* Design, build, and operate AI-powered automations and agentic workflows that help Customer Care Agents resolve issues faster and more consistently
 * Build and maintain integrations between LLM-based systems and our care technology stack, including Salesforce, Amazon Connect, and iPaaS workflow automation platforms
 * Prototype and iterate on agentic solutions that can take autonomous actions across care systems, with appropriate human-in-the-loop checkpoints
 * Write automated tests and participate in code reviews to maintain code quality and system reliability
 * Monitor AI system performance, respond to incidents, and iterate based on operational data and agent feedback
 * Partner with software engineers, Salesforce developers, and operations stakeholders to translate care workflows into intelligent, automated solutions
 * Leverage AI-augmented development tools to increase development velocity and code quality


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