13 дней назад
Founding AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Founding AI Engineer (AI/data systems): Building the technical foundation for a new vertical by creating reusable infrastructure, integrations, workflows, and tooling on top of an existing AI training-data platform with an accent on backend engineering, data systems, and customer-driven architecture. Focus on leading early customer engagements, translating ambiguous requirements into durable systems, and turning repeatable delivery patterns into core platform capabilities.
Location: Remote
Company
is building a secure, efficient, and privacy-centric platform for exchanging AI training data.
What you will do
- Partner with the GM, Solutions Lead, Product, Engineering, Data Lab, and early customers to define the technical needs and strategy of a new vertical.
- Build the first production-grade MVP of reusable infrastructure, integrations, workflows, and tooling on top of the core platform.
- Lead initial customer engagements end-to-end, from technical scoping and delivery through post-launch support.
- Make architectural decisions about platform capabilities versus vertical-specific tooling.
- Translate customer requirements into robust, maintainable systems and create a technical playbook for future FDEs.
- Identify repeatable patterns and infrastructure gaps, then help productize proven capabilities in collaboration with Product and Engineering.
Requirements
- 3+ years of engineering experience, including meaningful 0→1 work as a founding engineer, early technical lead, or builder in an ambiguous environment.
- Strong engineering generalist skills with a backend and data orientation.
- Hands-on experience with Python and SQL.
- Ability to work across infrastructure, application logic, and data systems.
- Strong technical judgment, written and verbal communication, and the ability to work with senior technical and business stakeholders.
- Ability to independently scope technical customer requirements and turn them into concrete execution plans.
Nice to have
- Founding engineer experience at a successful startup.
- Experience extending an existing platform into a new domain or use case.
- Experience turning customer-specific work into reusable infrastructure or product capabilities.
- Familiarity with ML, NLP, or LLM-based systems.
Culture & Benefits
- Lean, fast-moving, high-trust environment focused on velocity and impact.
- Autonomy to work from first principles, operate in ambiguity, and own outcomes.
- Culture based on integrity, resourcefulness, resilience, kindness, candor, collaboration, and accountability.
- Opportunity to shape a new business line and establish technical foundations for future customer engagements and hires.
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