Senior Software Engineer, AI & Strategy

Toast Toast · Enterprise · United States · Remote · R & D : BTT : Engineering

Senior Software Engineer to join the GTM & AI Strategy Engineering team, focusing on building 0-to-1 internal tools using LLMs and Agentic AI to automate sales processes, integrate AI services, and develop backend systems for sales operations.

What you'd actually do

  1. Hands-on Execution: Spend the majority of your time "hands-on-keyboard" , architecting and coding high-performance backend services and ML pipelines.
  2. 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.
  3. 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.
  4. 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.
  5. Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code.

Skills

Required

  • backend languages (Java, Go, Python)
  • building complex, distributed systems
  • Practical, hands-on experience building LLM agents in a production environment
  • Systems Architecture
  • implement event-driven architectures
  • manage data flow across disparate systems with high integrity

Nice to have

  • 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.

What the JD emphasized

  • primary builder of 0-to-1 tools
  • writing the code and building the intelligence models
  • building and productionizing agentic workflows
  • Practical, hands-on experience building LLM agents in a production environment

Other signals

  • building and productionizing agentic workflows
  • RAG pipelines to automate sales processes
  • integrate AI services into the tech stack
  • leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic