обновлено 11 дней назад
Senior AI Engineer (Contract Intelligence)
169 000 - 253 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Contract Intelligence): Building enterprise-grade AI features, intelligent agents, and agentic workflows for contract lifecycle management with an accent on backend architecture, distributed systems, scalability, and security. Focus on evaluating agent performance, integrating agents across the Workday ecosystem, and designing reliable LLM-powered services with cloud-native infrastructure.
Location: Vancouver, British Columbia, Canada; at least 50% of each quarter spent in the office or in the field
Salary: CAD 169,000–253,000 base pay range, with potential bonus or commission and annual refresh stock grants
Company
is a Fortune 500 company providing an AI platform for managing people, money, and business operations.
What you will do
- Build AI features and intelligent agents for Contract Lifecycle Management and contract intelligence.
- Architect highly available, scalable, and secure LLM-driven solutions and agentic workflows.
- Develop backend services and infrastructure that deliver AI capabilities across products.
- Continuously evaluate agent performance and user interactions to improve customer experience.
- Integrate agents with the broader agents ecosystem and ensure reliable interoperability.
- Lead technical workstreams, own delivery, and mentor junior-to-mid-level engineers.
Requirements
- 8+ years of professional software engineering experience focused on backend architecture, distributed systems, system design, scalability, and performance.
- 3+ years integrating LLMs or foundation models into enterprise products.
- 1–2+ years building AI orchestration frameworks such as LangChain or LlamaIndex and reliable agentic workflows.
- 4+ years using cloud platforms such as AWS, GCP, or Azure, plus 2+ years operating containerized cloud-native services with Docker and Kubernetes.
- Experience with infrastructure as code and GitOps, observability, relational databases, caching, asynchronous processing, queues, testing, and secure production engineering.
- Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field, along with strong collaboration, ownership, and mentoring skills.
Nice to have
- Experience with Terraform, Helm, ArgoCD, Prometheus, Grafana, OpenTelemetry, Sentry, or Datadog.
- Experience with PostgreSQL, Redis, Celery, Kafka, SQS, React, TypeScript, FastAPI, or Django.
- Experience benchmarking model outputs and creating automated evaluation metrics for retrieval and agent behavior.
Culture & Benefits
- Startup-style Evisort AI team supported by ’s infrastructure, resources, and customer base.
- Flexible work model combining office or customer-facing field time with remote flexibility; at least 50% of each quarter is spent in the office or field.
- Potential eligibility for a bonus or commission plan and annual refresh stock grants.
- Commitment to inclusive employment, reasonable accommodations, and candidate privacy.
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