Founding Engineer at Tryrama
Listed on 2026-08-03
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Job Title
Founding Engineer
SalaryNot Disclosed
Company Descriptionis a recently-seeded San Francisco startup building the AI infrastructure layer for the $3T+ electronic component distribution industry. The team is developing mission-critical systems that automate pricing intelligence and supply chain logistics for some of the world’s largest industrial distributors, replacing legacy manual processes with sophisticated AI.
Job DescriptionAs the first AI/ML hire at , you will own the end-to-end development of core technical systems. You'll build pricing intelligence, demand forecasting, and inventory optimization models while designing the data infrastructure to handle complex industrial data. Working directly with the founders, you’ll ship production-grade AI that transforms global supply chains.
LocationSan Francisco, USA
Why this role is remarkable- Join as the first AI/ML engineer at a recently-seeded company, gaining massive equity upside and the ability to shape the entire technical architecture from day one.
- Solve high-impact problems for a massive $3T+ market, moving global supply chains away from manual workflows toward sophisticated, automated AI infrastructure.
- Work directly with the CTO in a high-velocity, in-person environment in San Francisco where you can see your code impact the world's largest industrial distributors.
- Design and deploy production-ready ML models for pricing intelligence, demand forecasting, and inventory optimization from the ground up.
- Architect and maintain robust data pipelines capable of ingesting and processing "messy" industrial data from diverse global sources.
- Collaborate closely with the founders and customers to iterate on product features and ensure technical solutions meet complex, real-world supply chain needs.
- Proven experience building and shipping production-level AI/ML systems and managing the underlying data infrastructure required to support them at scale.
- A builder's instinct with the ability to thrive in an ambiguous, fast-paced startup environment and take complete end-to-end ownership of projects.
- Strong proficiency in designing scalable technical architectures, with a bonus for candidates who have experience in supply chain, logistics, or industrial domains.
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