Senior AI Engineer
HybridHo Chi Minh City, Ho Chi Minh City (HCMC), Vietnam
Job Summary
Design and build production-grade AI/ML systems, including LLM-powered applications and predictive models, that integrate with Zalora's data platform using BigQuery, dbt, and Airflow. Own the full engineering lifecycle from prototyping and evaluation to deployment, monitoring, and iteration of models and AI agents. Partner with data engineers and analysts to identify high-impact use cases across e-commerce operations, marketing, customer experience, and finance. Build reusable tooling and infrastructure to accelerate the team's AI capabilities. Translate ambiguous business problems into well-scoped technical solutions and communicate results to both technical and non-technical stakeholders. Establish engineering best practices for testing, evaluation, observability, and responsible deployment. Mentor other engineers on applied AI techniques.
Required Qualifications
- 5+ years of software or data engineering experience
- at least 2+ years building and shipping AI/ML systems in production
- Strong programming skills in Python
- comfort with SQL
- experience building reliable, well-tested services and pipelines
- Hands-on experience with at least one of: LLM application development (RAG, agents, prompt engineering, fine-tuning), classical ML/predictive modeling, or ML platform/MLOps engineering
- Practical experience with cloud data platforms (GCP/BigQuery preferred, AWS/Azure also welcome)
- experience with modern data tooling (dbt, Airflow, or similar orchestration)
- Solid understanding of ML/AI system design trade-offs: latency, cost, evaluation, data quality, and failure modes
- Strong communication skills — able to explain technical concepts to non-technical stakeholders and write clear documentation
- A pragmatic, product-minded approach: comfortable moving from ambiguous problem to shipped solution without waiting for perfect requirements
Desired Qualifications
- Experience with the Anthropic or OpenAI APIs
- vector databases
- agentic frameworks
- Background in e-commerce, marketplace, or retail data domains
- Experience working in a bilingual (English/Vietnamese) or regional Southeast Asian environment
- Familiarity with data governance, experimentation frameworks, or responsible AI practices
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