Note: The job is a remote job and is open to candidates in USA. Toast creates technology to help restaurants and local businesses succeed in a digital world. The Staff Software Engineer will build and productionize agentic workflows, RAG pipelines, backend services, and ML pipelines to automate sales processes and integrate AI across the go-to-market technology stack.

Responsibilities

• Hands-on Execution: Spend the majority of your time "hands-on-keyboard", architecting and coding high-performance backend services and ML pipelines
• 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic
• Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience
• Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient
• Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code
• Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy
• Deliver Quality: Ensure the reliability of GTM tools by building deep observability into every service you ship

Skills

• Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems
• Practical, hands-on experience building LLM agents in a production environment
• Ability to implement event-driven architectures and manage data flow across disparate systems with high integrity
• Bachelor's or Master's degree in Computer Science, or a related technical Field
• Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue
• Familiarity with AWS data services (SageMaker, Lambda, SQS)
• A passion for removing "human-in-the-loop" friction through intelligent automation

Benefits

• Cash compensation including overtime, bonus/commissions if eligible
• Equity
• AI tools provided across disciplines, from Engineering and Product to Sales and Support
• Hybrid work model that fosters in-person collaboration while valuing individual needs

Company Overview

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