1 день назад
Senior Fullstack Software Engineer (AI)
165 000 - 200 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Fullstack Software Engineer (AI): Building production web applications for data capture, data labeling, and global robotics operations with an accent on React, Node.js/Python backend services, and practical AI integrations. Focus on owning features end-to-end, designing reliable operational workflows, and solving performance and data-integrity challenges across frontend, backend, and deployment.
Location: Toronto GTA, hybrid
Salary: CA$165,000–CA$200,000 per year, plus potential equity and other total rewards.
Company
builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows used to train and validate humanoid and embodied AI systems.
What you will do
- Build and maintain production web applications for data labeling, data capture, and country and operations management.
- Develop responsive, intuitive interfaces for non-technical users and international operations teams using React, JavaScript, TypeScript, and modern frameworks.
- Build backend services and REST or GraphQL APIs with Node.js and/or Python.
- Implement permissions, retries, data integrity controls, background workflows, and other operational business logic.
- Integrate practical AI capabilities such as automated validation, normalization, workflow triggers, search, and internal tooling.
- Own features from design and implementation through testing, deployment, monitoring, debugging, and production improvement.
Requirements
- 5–7 years of professional experience building and maintaining full-stack web applications in production.
- Strong experience with JavaScript or TypeScript, React, and modern web frameworks.
- Hands-on experience with Node.js and/or Python, REST or GraphQL APIs, relational databases, PostgreSQL, and ORMs.
- Ability to work across the stack, ship features independently, and troubleshoot production issues.
- Daily use of AI development tools such as Cursor, Copilot, or Claude.
- Clear communication and comfort collaborating with operations, product, leadership, and other non-technical stakeholders.
Nice to have
- Exposure to AWS, GCP, or Azure and deployment practices such as CI/CD and Docker.
- Experience or strong interest in LLM API integrations, prompt engineering, document extraction, or vector search.
- Experience with data pipelines, ETL workflows, or data-intensive operations.
- Consulting, client-facing, startup, React Native, or design-system experience.
Culture & Benefits
- Build foundational tools supporting real-world robotics and embodied AI operations.
- Work closely with experienced founders and senior engineers in a high-trust, fast-paced environment.
- Work on software problems connected directly to hardware, data, and global operations.
- Compensation may include equity, health and wellness benefits, and other company programs.
- Inclusive hiring practices and accommodation support are available throughout the interview process.
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