Infrastructure Engineer, Applied AI

paradigm· Paradigm
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📍 San Francisco, CAFullTime💰 USD 250K–400K

About this role

INFRASTRUCTURE ENGINEER, APPLIED AI

The Firm

Paradigm is a San Francisco-based investment firm focused on frontier technologies across the globe, with over $11 billion in assets under management. We make investments in companies and protocols at all stages, ranging from early-stage venture financing rounds to growth equity to liquid assets.

Paradigm was co-founded in 2018 and is co-led by Matt Huang and Alana Palmedo. We’ve been hard at work investigating the world’s most beautiful technical problems since day one. Our research-driven approach helps us build relationships with founders and entrepreneurs, but it also reflects our broader goal of accelerating the progress of frontier technology.

The Role

Over the last eight years Paradigm has built some of the most used open-source software in the crypto industry, including Reth and Foundry. Earlier this year we published EVMBench with OpenAI, launched Optimization Arena and hosted the Auto Research hackathon. More recently, we open-sourced Centaur, a self-hosted runtime for multiplayer AI agents, which we’ve been using to transform how we work at Paradigm and Tempo.

All of these were done part-time by people on Paradigm’s Investing & Research team. This has made us realize that we are people-bound, not idea or impact bound. We need to grow our team to achieve our ambitions.

We want to do three things:

  1. Experiment aggressively. We will push the capabilities of models, harnesses and infrastructure to the limit in service of Paradigm’s broader goals in investing, research, and building.

  2. Build in public. We will get our hands dirty building useful open-source products.

  3. Invest. We will leverage our infrastructure - an area we think is still ripe for disruption with AI - to be better investors. By understanding infrastructure gaps experientially, we may incubate companies that will accrue value by addressing these gaps.

As we deploy more long-running agentic capabilities, we may get into fundamental research, forecasting, model cost optimizations etc., but that is not our focus yet.

We are looking for fearless engineers for this project who understand infrastructure, security, AI models, harnesses, and Slackbots. You will work directly with Georgios, Arjun, Matt Slipper, and the broader Paradigm team, alongside Tempo, and other companies that are themselves operating at the frontier.

Your work will directly impact how Paradigm operates every day. If this sounds like you, reach out.

Responsibilities

  • Control plane and durability: Own the core services that coordinate agent runs, keeping execution state durable and recoverable through restarts, failovers, and everything that goes wrong in production.

  • Execution runtime: Build and harden the sandboxed, Kubernetes-based runtime that isolates agent sessions, covering provisioning, lifecycle, and the network controls that make untrusted agent code safe to run.

  • Secrets and secure egress: Maintain the credential model that lets agents call third-party APIs without ever holding raw keys.

  • Reliability and observability: Own monitoring, alerting, incident response, and the failure-recovery behavior the system relies on.

  • Self-hosted deployment: Keep Centaur something any organization can run inside its own walls, with clean deployment, sane configuration, and painless upgrades.

Qualifications and Experience

  • A track record of building world-class products

  • Experience applying modern AI and software systems to solve complex, ambiguous problems end-to-end

  • Comfortable navigating everything from foundational models to full-stack product delivery

  • Pragmatic, product-minded builder who cares about solving real problems rather than overfitting to academic ML goals

  • Ability to work autonomously and as a collaborator on the team

Attributes

  • Exceptional team player

  • Extreme open-mindedness

  • Clarity of thought

  • Clear and concise communication (both written and verbal)

  • Technical depth; analytical; rigorous

  • Highly curious; fast learner

  • Ability to bridge technical and investing mindsets

  • Interest in frontier technologies and crypto markets

Frequently Asked Questions

What is the salary for the Infrastructure Engineer, Applied AI role at paradigm?
The listed salary for this Infrastructure Engineer, Applied AI position at paradigm is USD 250K–400K. This is an FullTime role.
Where is the Infrastructure Engineer, Applied AI position at paradigm located?
This Infrastructure Engineer, Applied AI role at paradigm is based in San Francisco, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Infrastructure Engineer, Applied AI role at paradigm full-time or part-time?
This is listed as a FullTime position. It is posted as a Infrastructure Engineer, Applied AI role in the Paradigm department at paradigm.
Which team or department does the Infrastructure Engineer, Applied AI at paradigm belong to?
This Infrastructure Engineer, Applied AI position is part of the Paradigm department at paradigm. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Infrastructure Engineer, Applied AI position at paradigm?
Click the "Apply Now" button on this page. You will be redirected to paradigm's official application portal hosted on ashby where you can submit your application directly.
When was the Infrastructure Engineer, Applied AI job at paradigm posted?
This Infrastructure Engineer, Applied AI position at paradigm was posted on Aug 3, 2026. Apply as soon as possible — early applications are often reviewed first.
Infrastructure Engineer, Applied AI
paradigm · 💰 USD 250K–400K
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You'll be redirected to paradigm's official application page on Ashby ATS.