Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate an increasingly complex world with intelligent, AI-powered experiences. Our mission is to build a restaurant platform that helps operators adapt, take control, and focus on what they love most—running their businesses. By investing in cutting-edge AI systems that are purpose-built for restaurants, we’re shaping the future of how restaurants operate, decide, and grow.
Bready* to make a change?
As an AI Engineer focused on Agentic Workflows, you will design and build intelligent, autonomous systems that orchestrate reasoning, actions, and tools to solve complex business problems. You will work at the intersection of LLMs, systems engineering, and product innovation—partnering with Data Science, ML Engineering, Product, and Platform teams to bring agent-based capabilities into production across Toast.
You will help define how AI agents plan, reason, collaborate, and execute tasks at scale—powering next-generation experiences across fraud, forecasting, operations, and customer insights.
About this Roll*:
- Design and build agentic AI workflows using LLMs to autonomously reason, plan, and act across complex tasks
- Architect multi-agent and tool-using systems that integrate with internal services, APIs, and data platforms
- Collaborate closely with Product, Data Science, ML Engineering, and Platform teams to translate business problems into agent-driven solutions
- Break down large AI initiatives into iterative, shippable components that deliver incremental value
- Productionize agent workflows with strong observability, reliability, and performance guarantees
- Implement evaluation, monitoring, and guardrails for agent behavior, correctness, latency, and cost
- Incorporate human-in-the-loop patterns where appropriate to ensure safety, trust, and usability
- Document architectures, decisions, and best practices to enable team-wide adoption and scalability
- Stay current with advancements in LLMs, agent frameworks, prompting strategies, and AI safety
- Contribute to building a strong AI engineering culture within the Data & AI organization
Do you have the right ingredients*?
- Bachelor’s or Master’s degree in Computer Science, AI, ML, or related technical field
- 5+ years of experience in full stack Data Scientist, ML engineering, or applied AI roles
- Hands-on experience with LLMs and agentic systems (e.g., LangChain, LangGraph, AutoGen, custom frameworks)
- Strong proficiency in Python and experience building production-grade systems
- Experience integrating LLMs with tools, APIs, databases, and workflows
- Experience deploying LLM-based systems at scale
- Solid understanding of software engineering best practices: OOP, testing, CI/CD, version control
- Experience in building and productionising embedding models, Data classical ML and deep learning models.
- Familiarity with cloud-native systems and AWS services (ECS, EKS, Lambda, DynamoDB, S3, SageMaker, etc.)
- Ability to reason about trade-offs in latency, cost, reliability, and correctness
- Strong collaboration and communication skills across technical and non-technical stakeholders
Bonus ingredients*:
- Familiarity with AI evaluation frameworks, prompt optimization, and model observability
- Knowledge of AI safety, governance, and responsible AI practices
- Passion for experimentation, innovation, and shaping the future of applied AI
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people.
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].
------
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Top Skills
What the Team is Saying
%20-%20Jane%20Modena.jpeg)
%20-%20Jane%20Modena.jpeg)
What We Do
Toast is the all-in-one platform built for restaurants of all sizes. Toast provides a single platform of software as a service (SaaS) products and financial technology solutions that give restaurants everything they need to run their business, including point of sale, payments, supplier management, digital ordering and delivery, marketing and loyalty, and team management. By serving as the restaurant operating system across dine-in, takeout, and delivery channels, Toast helps restaurants increase revenue, streamline operations and deliver amazing guest experiences.
Why Work With Us
Our recipe for an awesome workplace:
One splash of friendship
A dollop of impact
A sprinkle of no hierarchy &
A heavy spoonful of individuality
Mix these ingredients in a fast-paced and hardworking environment. Best paired with a side of interesting people who always bring their whole selves to work.
*100% Sunday scary free
Gallery
Toast Teams
Toast Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
