1 день 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 (LLMs, Knowledge Graphs, Cloud): Building and scaling AI-powered contract intelligence products that use large language models, knowledge graphs, and predictive analysis with an accent on user-facing enterprise experiences, orchestration, and production reliability. Focus on designing reusable AI application layers, evaluating agentic workflows, optimizing latency and token usage, and deploying observable cloud-native systems at scale.
Location: Vancouver, British Columbia, Canada; at least 50% of each quarter must be spent in the office or in the field.
Salary: CAD 169,000–253,000 per year, plus possible bonus and stock grants.
Company
is a Fortune 500 enterprise software company developing AI-powered products for managing people, money, contracts, and business operations.
What you will do
- Build tailored user experiences powered by LLMs, foundation models, knowledge graphs, personalization, and predictive analysis.
- Design, develop, and deploy scalable AI products and services across the product ecosystem.
- Create reusable application layers around AI models with robust error handling, evaluation, and seamless UX integration.
- Build and operate AI pipelines for training, deployment, monitoring, and lifecycle management.
- Optimize latency, token usage, reliability, security, and system performance in production.
- Lead 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 and product-building experience with production systems at scale.
- 3+ years integrating LLMs, foundation models, and modern AI APIs into user-facing enterprise products.
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or multi-agent frameworks, plus advanced prompt engineering.
- Strong cloud-native engineering experience with AWS or GCP, Docker, Kubernetes, infrastructure-as-code, and GitOps tooling.
- Experience with system design, automated model evaluation, observability, feature flags, databases, caching, queues, testing, and security practices.
- Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field; technical leadership and mentoring experience.
Nice to have
- Master’s degree in a relevant technical field.
- Full-stack experience with React, TypeScript, Python, FastAPI, or Django.
- Experience with PostgreSQL, Redis, Celery, Kafka, SQS, Prometheus, Grafana, OpenTelemetry, Sentry, Datadog, or LaunchDarkly.
Culture & Benefits
- Flexible work combines office or customer-facing time with remote work, with at least 50% of each quarter spent in person.
- Potential eligibility for a bonus plan or role-specific commission/bonus.
- Possible annual refresh stock grants.
- Inclusive, accessible hiring practices and employment benefits.
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