4 часа назад
Software Engineer AI - Multiple Levels
100 000 - 150 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer AI - Multiple Levels (AWS/LLM): Building secure, scalable, serverless AI services and deployment pipelines for governance, risk, and compliance products with an accent on event-driven architecture, observability, and production-ready LLM integrations. Focus on translating AI research into commercial services, designing resilient infrastructure, and solving challenges in monitoring, cost efficiency, privacy, and safe AI usage.
Location: Vancouver, British Columbia, Canada; candidates must be based in or able to work from Vancouver. Hybrid work model with onsite attendance at least 50% of the time for candidates within commuting distance of a office.
Salary: CAD 100,000–150,000 per year.
Company
develops AI-powered governance, risk, and compliance SaaS solutions used by organizations, executives, and boards.
What you will do
- Design, build, and operate secure, scalable, fault-tolerant serverless services on AWS.
- Translate AI and LLM capabilities into production-grade services and support their integration across product teams.
- Build deployment, monitoring, and management pipelines for AI services at scale.
- Own services end to end across architecture, implementation, deployment, observability, and operations.
- Participate in architecture discussions, design reviews, and product design focused on customer problems.
- Collaborate in an agile environment through pairing, planning, and shared delivery optimization.
Requirements
- Must be based in or able to work from Vancouver, Canada.
- Professional software engineering experience building web applications in an agile environment.
- Hands-on AWS experience and familiarity with infrastructure as code such as CDK or Terraform.
- Backend experience with RESTful APIs, Node.js/TypeScript or Python, Git, and SQL databases such as PostgreSQL.
- Frontend familiarity with React or Angular, plus experience writing readable, well-tested, secure code using SOLID principles.
- Practical use of AI development tools and understanding of AI/LLM concepts, privacy, security, fairness, and responsible validation.
Nice to have
- AWS CDK, TypeScript, and React experience.
- Microservices, event-driven architecture, CI/CD, and automated testing on AWS.
- Experience deploying AI applications in production and understanding of MLOps, RAG pipelines, semantic search, data drift, or performance monitoring.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Culture & Benefits
- Flexible hybrid work environment with office hubs across multiple countries.
- Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
- Collaborative, innovative culture focused on continuous learning and responsible use of AI.
- Global days of service and employee resource groups supporting diversity and inclusion.
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