2 часа назад
Staff Engineer (AI)
170 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer (AI/backend): Improving and evolving enterprise-grade retail software at scale with an accent on technical direction, cross-team integrations, scalable data models, and AI-native engineering practices. Focus on designing architecture, solving ambiguous multi-team problems, mentoring engineers, and using LLMs to build and operate reliable production systems.
Location: Remote
Salary: $170,000–$230,000 per year
Company
is a technology platform powering dispensary operations and consumer access to cannabis products across the United States and Canada.
What you will do
- Improve enterprise-grade retail software for performance, scalability, and reliability.
- Set technical direction and make architecture decisions that shape system evolution.
- Scope, refine, and stress-test customer-facing features with stakeholders and customers.
- Design unified solutions for problems spanning multiple teams and integrations.
- Mentor engineers and raise standards for engineering judgment, code quality, and craft.
- Plan, estimate, sequence, and de-risk complex work from ambiguity through production.
Requirements
- Experience building and operating production systems at scale, typically demonstrated through around 8+ years of experience.
- Deep hands-on experience with at least one modern backend stack; relevant technologies include .NET/C#, TypeScript, Ruby, PostgreSQL, MS SQL, and MongoDB.
- Experience designing scalable data models across relational and non-relational databases.
- Routine use of LLMs for system research, issue diagnosis, solution planning, coding, code review, and monitoring shipped work.
- Ability to communicate technical trade-offs clearly, coordinate across teams, and own production outcomes.
Nice to have
- Experience in the cannabis industry.
- Experience building POS, ecommerce, payments, retail, or commerce technology.
- Experience building and monitoring cloud-native infrastructure on AWS.
- Experience with third-party integrations or AI-assisted engineering workflows and agents.
Culture & Benefits
- Medical, dental, and vision benefits.
- Stock options for employees.
- Technology allowance for hardware, software, and reading materials.
- Flexible vacation and sick days.
- Ownership, customer curiosity, continuous improvement, and mutual respect are emphasized.
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