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1 день назад

Senior AI Engineer - Evisort AI

169 000 - 253 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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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

hirify.global 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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