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P-1 AI

Full Stack Super SWE

Posted 8 Days Ago
Remote
Hiring Remotely in United States
200K-275K Annually
Expert/Leader
Remote
Hiring Remotely in United States
200K-275K Annually
Expert/Leader
Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.
The summary above was generated by AI

Full Stack Super SWE

TL;DR: If you:

  • have an aggressive approach to AI-assisted development and are constantly pushing the limits of coding agents;

  • build excellent backend systems and understand what performant, well-structured frontend code looks like;

  • are comfortable owning architecture, backend, frontend, deployment, and reliability when the problem demands it;

  • are motivated by the goal of building superintelligence for engineering…


… you should apply for this role!

About P-1 AI:

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We are backed in our mission by some of the top venture investors and AI luminaries.

About the opportunity:

You'll build the product experience that sits between frontier AI systems and demanding technical users, solving interaction problems that simply didn't exist before agentic AI. Every feature you ship will directly shape how engineers work with AI in the physical world.

About the role:

  • Build the core product platform upon which Archie is built and shipped to customers.

  • Responsible for end-to-end product features that may span architecture, back end, front end, and reliability.

  • Develop and adopt state of the art best practices for using coding agents in the team's development workflow.

  • Work closely with our forward deployed engineers, AI researchers, fellow SWEs, and founders to rapidly prototype, test, and iterate on entirely new product concepts.

  • Ship continuously, respond to feedback from customers, and refine the product through rapid iteration.

About you:

  • SWE heavyweight that can work across architecture, infrastructure, back end, front end, and everything in between.

  • Taken products or significant features from concept through production and can clearly explain the engineering decisions made along the way.

  • Take deep pride in the product you put out.

  • Always experimenting with the latest AI products to optimize your workflow for efficiency and code caliber.

  • Have public proof of talent through products, open-source work, personal projects, technical writing, or other artifacts you've created.

  • Thrive in fast-moving environments where ownership is high, ambiguity is normal, and shipping quickly matters.

Location:

Remote (US/Canada) or San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.

Benefits:

Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.

Interview process:

  • Initial screening call (30 mins)

  • Biographical/behavioural interview (45 mins)

  • Technical interview (60 mins)

  • CEO interview (30 mins)

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