Senior Data & AI Engineer for Agentic AI Systems

Deliveryhero; Singapore; On-site; SGD 140,000 - 210,000; Full time

Benefits offered by this job

Free food

Health insurance

Dental insurance

Learning & development

Job summary

foodpanda, part of the Delivery Hero Group, seeks a Senior Software Engineer (Data & AI) to design, build, and scale production AI applications and agentic systems across APAC and Europe. You will own data pipelines, agentic workflows, and RAG systems while ensuring data quality and resilient operations.

You will collaborate with analytics teams, implement evaluation-driven development, and drive architectural decisions.

Qualifications

• 7+ years of software engineering experience.
• Applied AI experience with LLM-powered apps or agentic workflows.
• Experience with evaluation datasets, observability, and automated testing.
• Ability to own the full software lifecycle end-to-end.
• Balanced approach between rapid delivery and reliability, security, and maintainability.

Responsibilities

• Deliver End-to-End AI applications including agentic workflows and RAG systems.
• Design evaluations to measure correctness, reliability, and effectiveness of AI apps.
• Collaborate with analytics and business teams to translate needs into practical solutions.
• Own the software lifecycle from architecture to deployment and on-call rotations.
• Balance speed with engineering discipline and maintainability while using modern tools.

Skills

System design

Ownership & product mindset

Pragmatic engineering

Collaborative mindset

Curiosity & technical awareness

Tools

Python

SQL

Langfuse

BigQuery

dbt

Apache Airflow

PySpark

Docker

CI/CD

Job description

foodpanda, part of the Delivery Hero Group, seeks a Senior Software Engineer (Data & AI) to design, build, and scale production AI applications and agentic systems across APAC and Europe. You will own data pipelines, agentic workflows, and RAG systems while ensuring data quality and resilient operations.

You will collaborate with analytics teams, implement evaluation-driven development, and drive architectural decisions.