Software Engineer for Support AI
Role details
Job location
Tech stack
Job description
The Senior Software Engineer for Support AI will develop voice and chat systems for customer support, driving projects from concept to production, while collaborating across teams and improving AI capabilities through integration and data insights. The summary above was generated by AI
About Toast:
Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.
Are you bready* for a change? (Team Info)
The Support AI team is building voice and chat systems that handle customer support at scale-helping restaurants resolve issues quickly, often before they ever reach a human.
This is high-impact, real-world AI. When these systems work well, customers get unblocked instantly. When they don't, it directly affects a restaurant's ability to operate. Accuracy, speed, and reliability aren't nice-to-haves-they're critical.
We're early in building these capabilities. Voice AI is launching, chat AI is improving, and we're learning what actually drives better outcomes as we go. Many of the right answers haven't been figured out yet.
You'll work in an environment where shipping fast, learning from real interactions, and building systems that scale all have to happen at once. You'll put things into production to see what works, measure real customer outcomes, and iterate quickly-making pragmatic calls about when to move fast and when to invest for the long term.
As a Senior Software Engineer on Support AI, you'll drive projects end-to-end: building and evolving voice and chat systems, improving integrations based on production data, and scaling platforms that handle millions of customer interactions. You'll work closely with product, support operations, and AI engineering teams to turn ambiguous problems into systems that actually help customers. You'll navigate integration constraints, messy data, and competing priorities while the platform-and the problem space-continue to evolve.
If you're motivated by building AI systems that work in the real world and want to see your work directly improve how restaurants get help when they need it most, this is a role where you can have immediate, visible impact.
About this roll* (Responsibilities)
- Drive end-to-end development of voice and chat AI systems-from concept through production-owning the full lifecycle and iterating based on real customer and operational outcomes.
- Build and evolve integrations with third-party AI platforms and internal Toast systems, making pragmatic decisions that balance speed, reliability, and long-term scalability.
- Design and implement observability, monitoring, and outcome tracking for AI-powered support experiences-using production data to understand system performance and continuously improve customer outcomes.
- Make technical decisions grounded in production data, customer feedback, and operational constraints-navigating ambiguity while building systems that scale.
- Partner closely with product, support operations, and AI/ML engineering teams to translate ambiguous problems and workflows into robust, maintainable systems that drive measurable impact.
- Contribute to technical design and architecture discussions, helping shape system design, tradeoffs, and engineering standards.
- Mentor and support other engineers through code reviews, pairing, and technical guidance, fostering a culture of ownership, quality, and continuous improvement.
Requirements
- 5+ years of experience in software engineering, with a strong background building and maintaining production systems using Java, Kotlin, or other object-oriented languages.
- Proven ability to own complex features or projects end-to-end, from design through production and iteration.
- Experience building integrations with third-party APIs or platforms, especially in domains where reliability, latency, and vendor constraints matter.
- Comfortable working in ambiguity and making pragmatic tradeoffs between shipping quickly and building for scale
- Strong collaborator who can work effectively across product, operations, and technical teams to deliver customer and business outcomes.
- Proficient with AI tooling such as Cursor, Claude, and MCP servers
- Self-starter who takes ownership of problems, unblocks themselves, and drives work forward without waiting for perfect conditions.
Benefits & conditions
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $159,000-$254,000 USD Zone B $138,000-$221,000 USD Zone C $125,000-$200,000 USD
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. To learn more: https://careers.toasttab.com/ai-in-hiring