
Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
April 7, 2026
Full Job Description
đź“‹ Description
- • Super SWE at P1 AI Inc. is a high-impact generalist software engineering role focused on building Archie, an AI engineer designed to transform physical product development across industrial sectors. The role is central to the company’s mission of deploying AI-driven engineering intelligence at scale, with the potential to change the course of industrial innovation.
- • Day to day, the engineer will tackle the full spectrum of software development challenges — including architecture, front-end, back-end, full-stack, and infrastructure — using a diverse set of tools to advance Archie’s capabilities in quantitative intuition and engineering tool use. The role demands rapid learning, initiative, and the ability to go from concept to working system quickly, often wearing multiple hats in a fast-moving, low-bureaucracy environment.
- • P1 AI Inc. is an early-stage startup founded by leaders in deep learning, model-based engineering, and industrial applications, backed by a $23M seed round from Radical Ventures and supported by experts from OpenAI, DeepMind, and other top AI organizations. The company is mission-driven, values velocity and agility, and operates with minimal politics and bureaucracy.
- • In this role, the engineer will have the opportunity to grow rapidly by working on cutting-edge AI systems applied to real-world engineering problems, gain deep experience across the entire software stack, and contribute to a technology that could become standard on engineering teams worldwide. Success means shaping the future of physical engineering through AI.
Skills & Technologies
About P1 AI Inc.
P1 AI is a software company that builds an AI-powered platform for enterprise revenue teams. Its product integrates data ingestion, predictive analytics, and workflow automation to help sales and marketing organizations prioritize leads, forecast revenue, and personalize outreach at scale. The system continuously learns from CRM, email, and engagement data to surface next-best actions and optimize pipeline performance for B2B companies.
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