Senior AI Engineer - Da Nang (Paradox)

Paradox is now part of Workday — a Fortune 500 company and a leading AI platform for managing people, money, and agents. You’ll join the engineering team in Da Nang that builds the brain behind Olivia: the language understanding, the large language model (LLM) systems, and the new generation of AI agents that take real action on behalf of recruiters and candidates. We’re looking for a Senior AI Engineer who has already built and shipped machine learning systems that real users depend on, and who wants to own meaningful parts of that system end to end.

Responsibilities

Owning AI features supported by dedicated AI infrastructure, taking problems from early ideas through design, implementation, evaluation, rollout, and production monitoring; Develop LLM- and agent-based systems, including prompt engineering, context management (like RAG and vector databases), and agent workflows; Refine the models that power Olivia’s multilingual conversations, focusing on better 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 like caching, batching, and fallback strategies; Raising the technical bar by applying 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, helping them improve their decision-making; Creating 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 real value to our customers; Other duties which are assigned by the Employer or authorized person of the Employer.

Requirements

5+ years of experience designing and developing LLM AI systems; 5+ years of professional programming experience in Python; Demonstrated history of building AI products from early prototype through production.

Nice to have

Experience designing LLM-powered applications, agentic workflows, prompt pipelines, and tool/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, with the ability to explain technical decisions, risks, and trade-offs clearly to technical and non-technical audiences; Demonstrated ability to work collaboratively in team environments while showing a growth mindset through feedback, learning, and continuous improvement.

Benefits

Flexible work schedule