Super SWE
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Role details
Tech stack
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Job description
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.
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What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
Requirements
- 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…
Benefits & conditions
Be an Early Applicant Remote Hiring Remotely in United States 200K-275K Annually Entry level Remote Hiring Remotely in United States 200K-275K Annually Entry level Build and ship the core product platform for an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Develop AI-assisted coding practices, collaborate with engineers, researchers, founders, and customers, and rapidly prototype and iterate on new product concepts. The role requires strong product ownership, broad software engineering ability, and experience delivering significant features to production. The summary above was generated by AI, 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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