Software Engineer, AI/ML Infrastructure

The role

You will build and evolve core AI platform capabilities to enable teams to develop, run, and scale AI-powered applications. You will design and deploy scalable tools and infrastructure to support applied scientists.

What you will do

• Build and evolve core AI platform capabilities.
• Contribute to the design, development, and deployment of scalable tools and infrastructure.
• Support applied scientists with ML model training, serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling.
• Work hands on across the stack from backend services to integrations with AI models and tooling.
• Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools.
• Drive projects to completion with a focus on business impact and measurable outcomes.
• Solve complex technical problems.

Required qualifications

• At least 2 years of professional software engineering experience.
• Strong fundamentals in data structures, algorithms, and software design.
• Proficiency in at least one major programming language.
• Ability to work across multiple languages.
• Experience working with relational or NoSQL databases such as Postgres or DynamoDB.
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Comfort operating in a fast-paced environment with a certain level of ambiguity.
• Ability to quickly learn new technologies.
• Operate with a bias to action.

About the company

Thumbtack is an app used to take care of and improve homes through personalized guidance and AI tools. It connects homeowners with a community of 300,000 local service businesses.