Senior Data & AI Engineer: Production AI & Pipelines

FOODPANDA SINGAPORE PTE. LTD.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Benefits offered by this job

Free food

Health insurance

Dental insurance

Learning & development

Job summary

foodpanda is seeking a Senior Software Engineer (Data & AI) to design, build, and scale production AI applications and agentic systems across APAC and Europe. You will own end-to-end data pipelines, architect agentic workflows, and ensure reliability through on-call rotations.

You'll collaborate with analytics and business teams, evaluate AI systems, and embed robust testing, observability, and security into production.

Qualifications

• 7+ years of software engineering experience with Python, SQL, and system design.
• Applied AI experience with LLM-powered applications or agentic workflows.
• Experience building eval datasets and observability tooling.
• Strong judgment on AI vs deterministic software and value-based tradeoffs.
• Curiosity and practical engineering mindset; ownership of outcomes.
• Collaborative, with stakeholder-facing and mentoring skills.
• Pragmatic approach prioritizing reliability and maintainability.

Responsibilities

• Deliver end-to-end production AI applications including agentic workflows.
• Build evaluation datasets, testing, observability, and production quality.
• Partner with analytics and business teams to translate needs into solutions.
• Own software lifecycle from discovery to deployment and on-call support.
• Balance speed with engineering discipline, security, and maintainability.
• Contribute to design discussions, RFCs, code reviews, and mentoring.
• Ensure production reliability and incident response for systems.

Skills

Python

SQL

System design

Automated testing

LLM-powered apps

Observability

Ownership mindset

Tools

Langfuse

Docker

CI/CD

Job description

foodpanda is seeking a Senior Software Engineer (Data & AI) to design, build, and scale production AI applications and agentic systems across APAC and Europe. You will own end-to-end data pipelines, architect agentic workflows, and ensure reliability through on-call rotations.

You'll collaborate with analytics and business teams, evaluate AI systems, and embed robust testing, observability, and security into production.