Senior Software Engineer - AI Pod

Toast; Dublin; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work arrangement

Accommodations available

Job summary

Toast is seeking a Senior Software Engineer for the AI Pod team. You will architect and deliver backend AI platform features including the LLM proxy, AI key management, and observability pipelines, while building autonomous agents that participate in the software development lifecycle across Toast.

You will collaborate with engineers, product managers, and platform teams to translate developer needs into reliable platform solutions and contribute to agentic development tooling and best practices.

Qualifications

• Bachelor’s degree with 5+ years designing scalable backend services.
• Experience building or operating LLM-powered agents or AI tooling.
• Familiarity with Claude Code, Cursor, GitHub Copilot and custom plugins/ hooks.

Responsibilities

• Design, build, and ship AI platform features (LLM proxy, key management, observability).
• Develop autonomous agents and SDLC integrations (AI Review GitHub App, MCP integrations).
• Contribute to internal plugin marketplace and encode architectural standards into AI behavior.
• Implement MCP services and templates to accelerate AI-powered workflows.

Skills

Backend design

LLM-powered agents

Distributed systems

REST APIs

Cloud-native

Prompt engineering

Java/Kotlin

Education

Bachelor’s Degree in Computer Science or related field

Tools

MCP (Model Context Protocol)

Claude Code

Cursor

GitHub Copilot

Langfuse

DataDog

Job description

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

AI Pod is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

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

Qualifications

• 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

Preferred qualifications

• 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)

Hybrid work requirement

This is a hybrid role requiring in‑office presence two days per week.

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, please contact [e-mail].

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.