Founding AI Engineer
EQL Tech
Founding AI Engineer
EQL Tech
Global AI startup recruitment partner
EQL Tech · Burlingame, United States · Full-time · Posted 2026-07-28
Salary: USD 180,000–240,000
Workplace: on_site
Department: Engineering, Product & Tech
On-site · Engineering, Product & Tech · Full time San Francisco, California, United States
Our client is a stealth, seed-stage startup building an AI-powered wearable platform for industrial field technicians - running a real-time computer-vision and agentic AI system directly on smart-glasses hardware, live today with major data-center, energy, and industrial customers across multiple countries. Backed by a $5M seed round and founded by researchers from Harvard/NASA (computer vision, published at NeurIPS and ICCV) and MIT (machine learning, ex-quant researcher).
The bet: computer vision and agentic vision-language models (VLMs) grounded in real integrations with legacy enterprise systems (ServiceNow, SAP, Salesforce) - not another LLM wrapper. The industrial data this generates is also laying the groundwork for robotics automation down the line.
As Founding AI Engineer, you'll own the AI core: an agentic vision-language model (VLM) system doing multimodal visual reasoning, evals, and model orchestration, running on real hardware against real industrial workflows - not benchmark demos.
Fully on-site in the SF Bay Area. The founding team lives and works together for the first several months in a shared house before moving to a standard office - expect an intense, in-person, roughly 9-9-6 pace. Hours flex for exceptional, senior talent; the priority is getting the right person, not saving on salary.
Essential
Particularly valuable
How to apply: resume plus a short description of the most complex production VLM/CV system you've shipped.
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Eql Tech connects AI-native startups and high-growth tech scale-ups with top talent in engineering, sales, and GTM roles across the US and UK, acting as a strategic talent partner. It offers retained executive search, contingent hiring, and embedded talent solutions, plus interim leadership, talent advisory, and managed services to run a company’s recruitment function. The firm differentiates itself through sector specialization, a multi-service approach, and a leadership team with crosses between finance, education, and AI. Its goal is to help growing tech companies scale by aligning talent strategy with business objectives.
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