Full-Stack Engineer, AI Platform

🕒 September 18

💵 $154.7k - $200.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Logo of Thumbtack

Thumbtack

1001 - 5000 employees

🏪 Marketplace

☁️ SaaS

💰 $75M Debt Financing - Thumbtack on 2024-07

Marketplace • SaaS

Thumbtack is an online marketplace that connects homeowners with local service professionals for home maintenance, repairs, remodeling, and other home projects. The platform lets customers describe projects in their own words, browse local pros across many trades (e. g. , cleaners, handymen, plumbers, electricians, painters, HVAC, contractors, landscapers), view reviews and cost estimates, message pros without sharing contact details until messaging, and offers a guarantee up to $2,500 if a job isn't done as agreed. Thumbtack provides consumer-facing apps and a separate pro-focused experience with resources, community, and tools for professionals to manage leads and reviews. It covers every county in the U. S. and emphasizes project guides, cost guides, and home maintenance plans.

📋 Description

• Design and build interfaces for business teams to configure agents, review work, approve or correct actions, and understand what happened and why • Build observability and evaluation tooling to make agent behavior legible, including successes, failures, and the effects of changes • Work across the stack from React and TypeScript through service code and data models, owning features end to end through build, test, launch, and iteration • Partner directly with business teams to translate ambiguous operational problems into working software • Own the full lifecycle of work, including monitoring and post-launch improvement

🎯 Requirements

• 3+ years of professional software engineering experience • Strong frontend skills with React and TypeScript, including complex application state and data-dense interfaces • Solid backend engineering ability; experience with Go, PHP, and Python, and ability to pick up a new language • Working knowledge of relational and non-relational data stores, such as Postgres and DynamoDB • Product judgment to assess workflows, decide what to build, and determine what to cut • Interest in non-deterministic systems, uncertainty, partial failure, and designing for human correction • Ability to navigate ambiguity, close knowledge gaps, and deliver in an evolving environment

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