10 часов назад
Senior AI Engineer (Evisort AI)
169 000 - 253 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Evisort AI): Building AI-powered document and contract intelligence products using LLMs, knowledge graphs, predictive analysis, and scalable AI pipelines with an accent on reliable enterprise services, high availability, and product-focused user experiences. Focus on designing agentic workflows, deploying cloud-native systems, evaluating model quality, and leading technically complex engineering workstreams.
Location: Vancouver, British Columbia, Canada; flexible work with at least 50% of each quarter spent in the office or in the field.
Annual base salary: 169,000–253,000 CAD.
Company
is a Fortune 500 AI platform company, and the Evisort AI team operates as a startup within to develop document and contract intelligence products.
What you will do
- Develop AI-powered user experiences using LLMs, foundation models, knowledge graphs, personalization, and predictive analysis.
- Build and deploy scalable AI products, services, and lifecycle-managed pipelines across ’s product ecosystem.
- Architect reliable application layers around AI models, including error handling, reusable patterns, and seamless user experience integration.
- Prototype, benchmark, and evaluate model outputs, retrieval quality, and agentic behavior against product requirements.
- Operate observable, secure, high-availability cloud-native systems and continuously improve quality, performance, and scalability.
- Provide technical leadership, own engineering workstreams, and mentor junior-to-mid-level engineers while collaborating with product, design, and ML infrastructure teams.
Requirements
- 8+ years of professional software engineering experience focused on backend architecture, distributed systems, system design, scalability, and performance optimization.
- 3+ years integrating AI capabilities such as LLMs or foundation models into enterprise products.
- 1–2+ years with AI orchestration frameworks such as LangChain or LlamaIndex.
- 4+ years deploying scalable systems on AWS, GCP, or Azure, plus 2+ years operating Docker- and Kubernetes-based cloud-native services.
- Experience with infrastructure as code, GitOps, observability, databases, caching, asynchronous processing, testing, security scanning, and dependency management.
- Experience with Python backend services and REST APIs, React and TypeScript, feature flags, experimentation, and technical mentorship.
Nice to have
- Master’s degree in Computer Science, Software Engineering, or an equivalent technical field.
- Experience with Terraform, Helm, ArgoCD, PostgreSQL, Redis, Kafka, SQS, Celery, FastAPI, Django, Prometheus, Grafana, OpenTelemetry, Sentry, Datadog, LaunchDarkly, or SonarQube.
Culture & Benefits
- Flexible work combines office, field, and remote work according to business and team needs.
- Opportunities to build startup-paced AI products with the resources and customer reach of .
- Benefits may include participation in the Bonus Plan or role-specific bonus and annual refresh stock grants.
- Reasonable accommodations are available during the application and employment process.
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