Senior Software Engineer - AI Foundations

As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

Responsibilities:

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines.
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations.
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior.
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows.
• Write high-quality, well-tested code and participate in design and code reviews.
• Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions.
• Contribute to the team's adoption of agentic development practices and tooling.
• Leverage cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

Requirements:

• Bachelor's Degree with relevant experience of 5+ years in designing and implementing scalable backend services.
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling.
• Familiarity with AI coding assistants (e. g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks.
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks.
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions.
• Strong foundation in Java, Kotlin, or another object-oriented language.
• Experience with distributed systems, REST APIs, and cloud-native infrastructure.
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions.
• This is a hybrid role with 2 days per week in the Bengaluru office.
• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns.
• Experience with machine learning concepts, model evaluation, or ML infrastructure.
• Experience building developer experience platforms, internal tooling, or API gateways.
• Familiarity with observability tooling for AI/LLM systems (e. g., Langfuse, DataDog).