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EQL Tech
Phoenix, AZ, US; San Francisco, CA, US
Source: EQL Tech careers · View original posting
From EQL Tech's posting. “We” and “our” refer to the employer.
AI Engineer
Location: San Francisco, CA or Phoenix, AZ (In-Office)
Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to own the brand feel of the company and the movement they're building.
EQL Tech is proud to represent a highly ambitious, well-funded startup that has raised $16M from top-tier VCs and angels. The company is building the financial rails to help families access new State education funds (known as ESAs or School Choice Funds).
The $900B US Public Education budget is being opened up for parents to take control of their portion, which averages $7.5k per kid per year. Ambitious homeschool parents are already using these funds to piece together their dream education experience. Helping them access these funds is Step 1 in the journey to build the next-gen education system. The company treats this as their life's work and has already rejected an acquisition offer because they care about this being done right.
You will be joining an in-person company, working together in the office.
The Founders: The founders are engineers who have run their own alternative school together. One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system for the largest smart warehousing company globally, serving 1M customers/day at age 19.
The Core Team: You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk’s SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments Engineer from Microsoft and Goldman Sachs. The team also includes the former Deputy Director at Arizona's ESA department and leading school choice advocates.
As AI Engineer, you will work directly under the Head of AI — a researcher with experience at one of the world's leading ML research labs — to build and ship the intelligence layer that powers the product. AI is not a feature here; it is the core of how families get instant eligibility decisions, and how the company scales compliance without scaling headcount. You will own AI products end-to-end, from first prototype to production.
Work across the full AI stack: primarily LLM and VLM-based in early stages, with scope to fine-tune or train models from scratch as individual products mature and optimisation demands it
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