Top 3 Reasons To Join Us
Annual bonus: up to 3 months based salary
Macbook Pro is provided
Highly scalable platforms
The Job
ABOUT THE ROLE
Zalora is looking for a Senior AI Engineer to design, build, and ship AI-powered systems that make our data and technology teams - and the wider business - faster and smarter. You'll work across the full lifecycle: from prototyping applied ML and LLM-based solutions, to productionizing models and pipelines that run reliably at e-commerce scale. This role sits within the Data Engineering & Analytics organization and partners closely with data engineers, analysts, and business stakeholders across Operations, Marketing, Commercial, and Finance.
Responsibilities
- Design and build production-grade AI/ML systems - including LLM-powered applications, predictive models, and intelligent automation - that integrate with Zalora's data platform (BigQuery, dbt, Airflow).
- Own the full engineering lifecycle: prototyping, evaluation, deployment, monitoring, and iteration of models and AI agents/pipelines.
- 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 (retrieval pipelines, evaluation frameworks, prompt/version management, MLOps tooling) to accelerate the team's AI capabilities.
- Translate ambiguous business problems into well-scoped technical solutions, and communicate results and trade-offs clearly to both technical and non-technical stakeholders, including senior leadership.
- Establish and champion engineering best practices for AI systems - testing, evaluation, observability, cost management, and responsible/safe deployment.
- Mentor other engineers on applied AI techniques and help raise the technical bar across the team..
Your Skills and Experience
- 5+ years of software or data engineering experience, with at least 2+ years building and shipping AI/ML systems in production.
- Strong programming skills in Python (and 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) and 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.g.
Nice to Have
- Experience with the Anthropic or OpenAI APIs, vector databases, or 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.
Why You'll Love Working Here
- The unique opportunity to have a serious impact on a growing organization
- A dynamic working environment shaping the face of fashion e-commerce in growth markets
- Work closely with a global talent pool with international mindset
- Best practice scaled agile engineering
- Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
- Hybrid working environment.
- Clear career progression plan and support
- Macbook or laptop when you start
- Social insurance, medical insurance & health insurance
- 13th month salary
- 15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave