Описание

Guesty is an all-in-one platform helping hospitality businesses automate, optimize, and scale their operations. We are looking for a Senior AI Platform Engineer to join the core team powering our AI platform and agent infrastructure. In this role, you will build the foundational systems, runtimes, and developer tools that enable 100+ engineers across the company to build and scale production-grade AI applications.

Responsibilities

Build Core AI Infrastructure: Own and evolve our core AI platform, agent runtimes, and developer tooling using TypeScript (NestJS), Python, and cutting-edge AI frameworks
End-to-End Delivery: Take platform initiatives from blank-page research to architectural planning, hands-on execution, deployment, and production monitoring
Enable 100+ Engineers: Build standardized developer tools, APIs, and infrastructure that make shipping AI applications seamless, secure, and reliable for engineering teams company-wide
Scale & Observability: Design event-driven architectures built for high load, zero-downtime reliability, deep tracing, structured logging, and production observability
AI Cloud & DevOps: Manage and automate cloud infrastructure, container execution environments, and CI/CD pipelines to support AI workflows
Uphold Engineering Standards: Maintain a clean architecture mindset, promote engineering best practices, and collaborate closely with cross-functional teams to deliver tangible impact

Requirements

5+ Years of Senior Production Experience: Proven track record as a Senior Backend or Platform Engineer shipping software that runs in production at scale
End-to-End Execution: Ability to unpack ambiguous problems, perform the necessary research, draw up a solid architectural plan, and execute to completion
Architecture & Clean Code Mindset: Deep appreciation for event-driven systems, clean abstractions, Domain-Driven Design (DDD), and high standards for software quality and maintainability
Core Technical Baseline: Hands-on experience writing production code in TypeScript (NestJS) and/or Python, along with familiarity with cloud infrastructure (AWS, Docker, Terraform) and microservices
Production Craft & Observability: Real-world experience diagnosing production issues, handling scale/load bottlenecks, and implementing robust logging, tracing, and metrics
Impact-First & Collaborative: A team player who is passionate about AI, driven by creating real leverage for other developers, and focused on business outcomes

We offer

Full-time employment