Applied AI Engineer

Reposted 11 Days Ago
San Francisco, CA, USA
In-Office
200K-350K Annually
Mid level
Artificial Intelligence • Information Technology
The Role
As an Applied AI Engineer, you'll enhance Console's AI platform by building product flows, automating processes, and improving user experience through data insights.
Summary Generated by Built In

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 more reliable, adaptable, and resilient

  • Build category defining product capabilities, from idea to production

Who You Are

You’re a product-minded engineer who enjoys building real systems people depend on. You’ll likely have:

  • 4+ years of software engineering experience, with a focus on applied AI products

  • Proven track record of shipping agentic systems used by real users

  • Comfortable across the stack (TypeScript, Node.js, React) and debugging production systems

  • Strong product sense, with a focus on building intuitive, reliable systems

  • Ownership mindset: you drive projects end-to-end and iterate quickly from real usage

  • Enjoy following SOTA research into new models and agent architectures

  • Comfortable building products that live at the intersection of AI and ML

Why join Console?
  • Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company.

  • World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.

  • Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.

  • Competitive pay and benefits: top compensation with full benefits including:

    • Equity with early exercise & QSBS eligibility

    • Comprehensive health, dental, and vision insurance

    • Unlimited PTO

    • 401(k)

    • Meals provided daily in office

Top Skills

Node.js
React
Typescript
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The Company
HQ: San Francisco, CA
6 Employees

What We Do

Console helps IT teams automate support requests directly in Slack using AI that is trained on your existing KB, app matrix, company policies, etc. Anything that can't be automated is seamlessly handed off to a human agent in your existing help desk. We're currently able to deflect 55%+ tickets across our customers, automating things like: access requests, KB search & surfacing, password / MFA resets, group management, team routing, etc.

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