Console

Applied AI Engineer

San Francisco, California, United StatesFull time$200,000 - $350,000 / yearPosted 11 days ago
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Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a future where enterprise operations are fully autonomous; with no tickets, approvals, or manual processes slowing companies down.

Our platform enables companies like Databricks, Figma, and Cursor to delegate entire categories of work to AI agents that understands their org, takes action across systems, and gets smarter over time. We've raised $29M, backed by Thrive Capital (investors in OpenAI, Stripe, GitHub) and a small group of founders who have built category-defining companies.

We’re unusually selective about the people we work with. We hire builders who span functions, optimize for speed, and care deeply about their craft. We do not care about pedigree. We have a lot of work ahead of us. Join us.

ABOUT THE ROLE

We’re hiring an Applied AI Engineer as the number and complexity of AI workflows in our system scale rapidly. As more customers rely on Console to automate critical back-office operations, we need engineers who can push our core agent loop to be faster, smarter, and more reliable.

You’ll own and evolve the core agent loop and the AI workflows that make the product feel like magic. Working closely with product and leadership, you’ll ship fast, build intuitive and resilient systems, and drive projects end-to-end, helping shape both the platform and the future of the product.

WHAT YOU'LL DO

You’ll build and improve AI systems that operate in real-world conditions, where reliability, speed, and adaptability matter. At Console, you will:

- Build intelligent agents that automate work and significantly increase productivity

- Design copilot-style workflows that help human operators do more, faster

- Treat agent quality like a first-class ML optimization problem using real usage data to make the core agent loop to be mor...