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//LeapforIntelligence//Careers

Build the intelligenceenterprises own.

We build domain models, agentic products and the infrastructure under them as one stack.Join the team rebuilding enterprise AI from the ground up.

//Our values

Do whatever it takes to scale intelligence and serve humanity

We work across the whole stack: the data a model learns from, the models that reason over it, the products people use and the hardware it runs on. Most roles here touch more than one layer.

Small teams own problems end to end, from the first experiment to production.

Everything we ship answers to one test: does it make our customers' intelligence more their own?

  • Momentum

    “A working system this week beats a perfect plan next quarter. Ship, measure, and learn from what comes back.”

  • Ownership

    “Own the outcome, not the task. If you see something broken, it's yours until it's fixed.”

  • Rigor

    “Our customers run regulated work. Every number we report has to hold up, so we measure before we claim.”

  • Craft

    “Whether it's a training kernel or a line of copy, build it to last and leave it better than you found it.”

//How we work

Small teams. Whole-stack problems.

Researchers, engineers and designers sit on the same teams and ship to the same customers. A model is only finished when it runs in production, on the customer's infrastructure, under their governance.

We hire people who want to own a problem end to end, and who would rather show a result than describe one.

If that sounds like you, we'd like to hear from you, even if no open role fits exactly.

//Honest limits

This isn't the right fit if…

  • You want to stay in one layer.

    Our problems cross data, models, products and hardware. Most weeks, your work will too.

  • You need a finished playbook.

    Much of what we build hasn't been built before. We write the playbook as we go.

  • You'd rather not meet the customer.

    Every team works with the people who run our systems. Their problems set our priorities.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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