Build and evolve core AI platform capabilities that enable teams to develop, run, and scale AI-powered applications across Thumbtack.

Contribute to the design, development, and deployment of scalable tools and infrastructure to support the efforts of our applied scientists, including traditional ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling.

Work hands on across the stack, from backend services and execution infrastructure to integrations with AI models and tooling.

Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools that help product teams harness advances in AI.

Drive projects to completion with a strong focus on business impact and measurable outcomes.

Solve complex technical problems and stay up to date with advances in this rapidly evolving space.

In order to be successful, you must bring

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, and the ability to work across multiple languages. Our primary stack includes Go and Python.

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

Software Engineer, AI/ML Infrastructure (US-Based)

Responsibilities

Qualification

Required

Company

Thumbtack

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