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Workday

Builds software to manage HR and finances

Senior AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeDa Nang, Hải Châu District, Da Nang, VietnamNo salary listed

About the Job

Requirements

  • At least 5 years of experience designing and developing large language model AI systems.
  • At least 5 years of professional programming experience in Python.
  • Demonstrated history of building AI products from early prototype through production.
  • Experience designing large language model-powered applications, agentic workflows, prompt pipelines, and tool or function-calling patterns for reliable product experiences.
  • Experience improving AI system quality through evaluation methods, regression testing, guardrails, observability, and production monitoring.
  • Ability to design AI services with attention to latency, cost, reliability, scalability, and operational maintainability.
  • Ability to guide engineers through practical technical feedback, design reviews, code reviews, and clear documentation.
  • Experience partnering with product, data, platform, and engineering teams to turn business needs into technical plans.
  • Excellent communication skills in English and Vietnamese, including the ability to explain technical decisions, risks, and trade-offs to technical and non-technical audiences.
  • Demonstrated ability to work collaboratively in team environments and show a growth mindset through feedback, learning, and continuous improvement.

Responsibilities

  • Own AI features supported by dedicated AI infrastructure, taking problems from early ideas through design, implementation, evaluation, rollout, and production monitoring.
  • Develop large language model- and agent-based systems, including prompt engineering, context management such as retrieval-augmented generation and vector databases, and agent workflows.
  • Refine the models that power Olivia’s multilingual conversations, focusing on improved intent and entity recognition.
  • Improve AI performance by building tools to measure quality, monitor metrics, run tests, and quickly catch production issues.
  • Make model serving faster, cheaper, and more reliable using techniques such as caching, batching, and fallback strategies.
  • Apply AI expertise and engineering experience to deliver high-quality system designs, implementation approaches, and code.
  • Guide and support other engineers with thoughtful feedback on code and designs to help improve their decision-making.
  • Create clear documentation that helps team members understand how systems work, make informed decisions, and work more independently.
  • Work with product, data, and platform teams to deliver AI features that provide value to customers.
  • Perform other duties assigned by the employer or an authorized person of the employer.

About the Company

Workday

Builds software to manage HR and finances

Workday builds cloud software that organizations use to manage employees, finances, and business plans. Its Human Capital Management and Financial Management applications handle processes such as hiring, payroll, expenses, accounting, and reporting, while Adaptive Planning helps teams build budgets and forecasts. Users work in connected applications with shared data and permissions, and Workday also sells AI tools that search information and carry out HR and finance tasks. Customers pay for subscriptions, with additional revenue from implementation, training, and other professional services. Workday was founded in 2005 and is headquartered in Pleasanton, California.

Company size
10,001+
Company stage
IPO
Headquarters
Pleasanton, CA
Founded
2005

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