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Flux

AI-driven browser-based PCB design platform

Software Engineer - Agentic Products

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$183k - $250k /yrIn-person

About the Job

Requirements

  • At least 5 years of software engineering experience and at least 1 year developing generative artificial intelligence or agentic systems.
  • Strong command of TypeScript, React, and Node.js.
  • Experience with LangChain, LangGraph, or equivalent orchestration frameworks.
  • Demonstrated success building asynchronous, distributed systems in production.
  • Experience integrating large language model-based systems into complex user-facing web products.
  • Experience working at a startup or in a zero-to-one product environment.

Responsibilities

  • Develop agentic reasoning capabilities in TypeScript using LangGraph.
  • Integrate artificial intelligence behaviors into the Flux web application using React and Redux, and into its chat user interface.
  • Instrument telemetry and logging to track runtime health, performance, and cost.
  • Collaborate with product and electrical engineers to shape intelligent electronic computer-aided design workflows.
  • Build and analyze evaluations, and translate the data into engineering decisions.
  • Shape agentic patterns, conventions, and best practices for the broader engineering organization.

Desired Qualifications

  • Experience with retrieval systems, evaluation pipelines, or agent benchmarking.
  • Contributions to open-source artificial intelligence or developer tools projects.
  • Familiarity with hardware design or electronic computer-aided design concepts.
  • Background in applied machine learning, data-driven experimentation, or natural language processing.
  • Experience with highly available distributed systems operating at significant scale.

About the Company

Flux

AI-driven browser-based PCB design platform

Flux provides an AI-powered, browser-based platform for designing PCBs. It guides from idea to manufacturable board by an AI assistant that accepts natural language prompts to generate plans, schematics, and bills of materials, and to place components and route traces, with automated design rule checks and support for up to eight layers. It includes collaboration features with version control and permissions, and integrates with distributors and manufacturers to keep sourcing in check and reduce supply-chain risks. Its goal is to make hardware development as fast and iterative as software development, enabling complex boards for IoT, wearables, and robotics while scaling AI for more advanced designs.

Company size
51-200
Company stage
Series B
Total funding
$39M
Headquarters
San Francisco, CA
Founded
2019

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