Staff Software Engineer, AI/ML Infrastructure

Posted 7 hours ago

This is a fully remote position, open to applicants in United States, +38 more locations.

πŸ“‹ Description

β€’ Develop and enhance fundamental AI platform functionalities for applications powered by GenAI.

β€’ Create, implement, and launch scalable tools and infrastructure that support applied scientists.

β€’ Construct systems for traditional ML model training and serving, along with feature and data workflows, CI/CD, orchestration, deployment, and evaluation tools.

β€’ Engage directly with backend services, execution infrastructure, and integrations of AI models/tools.

β€’ Assess next-generation AI infrastructure frameworks and tools.

β€’ Lead projects to successful completion with an emphasis on business impact and quantifiable results.

β€’ Tackle intricate technical challenges and remain updated on advancements in AI.

β€’ Collaborate with applied scientists, product engineering teams, senior engineers, and engineering leadership.

β€’ Establish multi-quarter roadmaps and make strategic decisions regarding build, buy, or adopt options.

β€’ Ensure that AI/ML platforms align with Thumbtack's AI objectives.


⛳️ Requirements

β€’ Over 10 years of professional software engineering experience.

β€’ Proven record of technical leadership at the staff level or equivalent scope.

β€’ More than 3 years of experience in building AI/ML infrastructure in a production environment.

β€’ Practical experience with LLM-powered systems in operational settings.

β€’ Familiarity with LLM gateways or proxies, prompt and model lifecycle management, RAG or agentic architectures, and cost optimization for LLM workloads.

β€’ Experience in constructing or managing AI evaluation systems.

β€’ Extensive expertise in designing, developing, and maintaining reliable distributed systems.

β€’ Accountability for production services at a significant scale.

β€’ Responsibility for on-call duties and incident leadership.

β€’ Proven capability to utilize AI coding tools and assess, critique, and enhance AI-generated outputs.


🏝️ Benefits

β€’ Equal opportunity workplace.

β€’ Reasonable accommodations for individuals with disabilities.

β€’ Safety protections for candidates during the hiring process.

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