career.io builds an AI career companion, and its stack shows an agentic-first architecture: LangGraph, MCP, Gemini and Perplexity sit on a Python/FastAPI, PostgreSQL and Redis backend running on AWS with Docker and Kubernetes. Accelerating, engineering-heavy hiring lines up with pain points around scaling job ingestion, continuous skills inference and agentic systems, which suggests the data and AI layer is where the build effort is concentrated.
career.io is a New York-based, privately held company founded in 2022 that develops an AI-driven career companion for individual job seekers. Its product work includes a multi-turn conversational assistant, large-scale job ingestion, and skills inference, and it operates alongside the resume.io platform. The company has 51–200 employees and is hiring in the United States and France. Its web and growth tooling includes React, TypeScript, WordPress, HubSpot, Ahrefs and Google Analytics 4.
career.io runs Python, FastAPI, PostgreSQL and Redis on AWS with Docker and Kubernetes. For its AI layer it uses LangGraph, MCP, Gemini and Perplexity, and its frontend is built with React and TypeScript.
Job posts point to an AI career companion app, a multi-turn conversational assistant, job ingestion at scale, and canonical data and entity resolution, plus ongoing work on the resume.io platform.
career.io is hiring in the United States and France. Most open roles are mid- and senior-level engineering positions, with additional openings in product, HR and operations.
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career.io's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
