2 дня назад
Senior AI Engineer, Fullstack (Agent Factory)
169 000 - 253 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer, Fullstack (Agent Factory) (LLM and agent orchestration): Building production-grade intelligent agents and the full-stack product surfaces for Workday’s HR and Finance workflows with an accent on orchestration, React, backend microservices, and responsible AI. Focus on designing multi-step reasoning and retrieval systems, optimizing latency and cost, implementing evaluation and observability loops, and enforcing privacy, permissions, and explainability for sensitive enterprise data.
Location: Vancouver, British Columbia, Canada; at least 50% of each quarter must be spent in the office or with customers, prospects, or partners
Annual base salary: 169,000–253,000 CAD, depending on work location, experience, skills, duties, and business needs. The role may also include a bonus or commission and annual refresh stock grants.
Company
is a Fortune 500 company providing an AI platform for managing people, money, and intelligent agents.
What you will do
- Design and implement agentic workflows, including orchestration and routing layers, tool calling, retrieval pipelines, memory, and multi-step reasoning.
- Build and operate end-to-end product features across React frontends, backend microservices, APIs, data models, and CI/CD infrastructure.
- Integrate foundation models into customer-facing HR and Finance workflows and optimize latency, interaction cost, context-window efficiency, determinism, and failure handling.
- Build offline and online evaluation, benchmarking, production observability, and agent-trace monitoring.
- Implement guardrails, permission and data-boundary enforcement, PII handling, auditability, and explainability for sensitive enterprise data.
- Set technical direction, lead high-visibility engineering workstreams, present designs and results, and mentor engineers.
Requirements
- 10+ years of professional software development experience with significant full-stack ownership.
- 5+ years with backend web frameworks, preferably Python frameworks such as FastAPI, Flask, or Django.
- 2+ years integrating LLMs, foundation models, or modern AI APIs into production user-facing products.
- 1+ years designing and scaling AI orchestration architectures, including multi-agent or tool-calling frameworks, routing layers, or advanced RAG pipelines.
- 4+ years deploying scalable systems on cloud platforms such as AWS or GCP, with strong experience in React, TypeScript, Python, microservices, REST APIs, databases, Docker, Kubernetes, CI/CD, and observability.
- Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field; a Master’s degree is preferred.
Nice to have
- Experience with Kotlin or Java, PostgreSQL, non-relational stores, Elasticsearch, rich-text editors, document-parsing tools, C4 diagramming, or XO lifecycle management.
- Experience integrating ML services or data pipelines into web applications.
Culture & Benefits
- Work in small, senior, cross-functional pods with Product, UX, Machine Learning, and platform partners.
- Build production-grade AI used by enterprise customers and millions of people.
- Flexible work combines in-person collaboration with remote work, with at least 50% of each quarter spent in the office or in the field for this role.
- provides an inclusive and accessible hiring experience and considers qualified applicants with arrest and conviction records where permitted by law.
- The compensation package may include a Bonus Plan or role-specific bonus and annual refresh stock grants.
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