Senior AI Platform Engineer: LLM & Agentic Workflows

United States Digital Space LLC; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Toast is seeking a Senior Software Engineer for its AI Pod to build and maintain backend systems that power AI-assisted development across the company.

You will design, deploy, and scale the LLM proxy, agentic workflows, and a plugin marketplace, collaborating with product managers and platform teams to deliver reliable platform solutions and accelerate software delivery.

You're expected to work in a hybrid model two days per week and contribute to a culture of innovation and quality.

Qualifications

• 5+ years in designing and implementing scalable backend services.
• Experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling.
• Familiarity with AI coding assistants and extending them via plugins, hooks, or skills.
• Experience with MCP (Model Context Protocol) or similar agentic integration frameworks.
• Knowledge of prompt engineering and LLM behavior in context.

Responsibilities

• Design, build, and ship features across AI platform infrastructure (LLM proxy, AI key management, observability pipelines).
• Develop autonomous agents that participate in the SDLC and integrate with internal tools.
• Contribute to the internal plugin marketplace to encode standards in AI assistant behavior.
• Implement MCP services and templates to accelerate AI-powered workflows across teams.
• Write high-quality, well-tested code and participate in reviews.
• Collaborate with engineers, PMs, and platform teams to translate developer needs into platform solutions.
• Promote agentic development practices and tooling; leverage cutting-edge AI tools to improve velocity and foster innovation.

Skills

LLM-powered agents

AI coding assistants

MCP

Prompt engineering

Java

Kotlin

Distributed systems

REST APIs

Cloud-native infrastructure

Education

Bachelor's degree in Computer Science or related field

Job description

Toast is seeking a Senior Software Engineer for its AI Pod to build and maintain backend systems that power AI-assisted development across the company.

You will design, deploy, and scale the LLM proxy, agentic workflows, and a plugin marketplace, collaborating with product managers and platform teams to deliver reliable platform solutions and accelerate software delivery.

You're expected to work in a hybrid model two days per week and contribute to a culture of innovation and quality.