Senior Software Engineer (Data & AI)

We are looking for a Senior Software Engineer (Data & AI) to design build and scale production AI applications and agentic systems that solve complex operational and analytical challenges across foodpandas footprint in APAC and Europe.

In this role applied AI takes center stagegrounded by robust data infrastructure. While your primary focus will be architecting agentic workflows advanced RAG systems and intelligent automations you will also design build and maintain the underlying data pipelines that feed these systems. You will take full end-to-end ownership of the stack: ensuring data quality and pipeline performance orchestrating agent behaviors and actively participating in the teams production on-call rotation to keep our services reliable and resilient.

An initiative within the team is our agentic analytics platform which connects AI agents directly with our enterprise business logic semantic layers and context engines to deliver accurate verifiable insights. 

Responsibilities

• Deliver End-to-End AI Applications: Design build and maintain production AI applications including agentic workflows RAG systems and integrations with business knowledge semantic layers and external tools. Build solutions that go beyond prototypes and deliver measurable value to users.
• Practice Evaluation-Driven Development: Build and maintain evaluations to measure the correctness reliability and effectiveness of AI applications. Leverage evaluation datasets automated testing production observability and user feedback to understand failure modes and continuously improve system behavior.
• Iterate Closely with Stakeholders: Partner directly with analytics and business teams to understand their workflows challenge assumptions and translate ambiguous problems into practical solutions. Rapidly prototype validate ideas and refine products based on real-world feedback.
• Own Software End-to-End: Take ownership across the software lifecycle from technical discovery and architecture to implementation testing deployment monitoring and continuous improvement. Be comfortable working across data infrastructure backend services and user-facing applications where needed.
• Balance Speed with Engineering Discipline: Leverage modern development tools including AI coding agents to accelerate delivery while maintaining high standards for software design automated verification security and maintainability.
• Contribute to Engineering Excellence: Drive technical design discussions contribute to architectural decisions and RFCs participate in code reviews and pair programming and mentor other engineers through knowledge sharing and collaboration.
• Maintain Production Reliability: Take responsibility for the systems you build and maintain including observability incident investigation performance optimization and participation in the teams on-call rotation.
• Build and Own Data & Context Pipelines: Design build and maintain the ingestion ETL/ELT and context-retrieval pipelines that feed our AI models semantic layers and agentic workflows. Take shared ownership of pipeline reliability data freshness and incident response as an active participant in the teams production on-call rotation

Qualifications :

• Strong Software Engineering Fundamentals: You have 7 years of software engineering experience with strong proficiency in Python SQL system design and automated testing. You enjoy building reliable maintainable production systems.
• Applied AI Experience: Youve developed LLM-powered applications agentic workflows or related systems and understand the challenges of taking AI solutions from experimentation into production.
• AI Evaluation & Observability: Youve built evaluation datasets frameworks or automated harnesses to systematically measure and improve AI application performance or have experience with observability tools such as Langfuse.
• Engineering and Product Judgment: You have informed opinions about how AI systems should behave. You know when to use LLMs when deterministic software is more appropriate and how to balance correctness complexity cost and user experience.
• Curiosity and Technical Awareness: You stay informed about emerging AI research models agent architectures and software engineering practices. You enjoy experimenting with new ideas while remaining pragmatic about what delivers value.
• Ownership and Product Mindset: Youre comfortable navigating ambiguity working directly with stakeholders and making thoughtful decisions when there isnt a single right answer. You care about the experience of the people using your software.
• Pragmatic Engineering Approach: You enjoy shipping quickly to learn but dont compromise user trust software reliability or maintainability in the process. You value evidence testing and continuous improvement.
• Collaborative Mindset: You enjoy working with other engineers through technical discussions pair programming code reviews and mentorship.

Good to have:

• Hands-on Data Engineering Experience: Youve built and maintained production data pipelines data integrations or data-intensive systems and understand the importance of data quality modeling and operational reliability.
• Modern Data Platforms: Youve worked with technologies such as BigQuery dbt Apache Airflow PySpark or lake house architectures.
• Knowledge & Semantic Systems: Youve built applications integrating LLMs with structured data semantic layers (dbtflow cube) knowledge graphs context engineering or retrieval systems.
• Cloud & DevOps: You have experience with AWS or GCP Docker and automated CI/CD pipelines.
• Full-Stack Product Development: Youve shipped product features end-to-end and are comfortable working across frontend backend and model integrations.
• Developer Experience: Youve built internal platforms developer tools or infrastructure that improve how other engineers build test or operate software.

Additional Information :

What we can feed you:

• A collaborative international engineering team working on challenging problems across data infrastructure and applied AI.
• Opportunities to own meaningful projects end-to-end from early ideas to production systems used by business teams.
• A culture of technical learning experimentation knowledge sharing and professional development.
• Regular company and team events with a commitment to diversity and inclusion.
• Benefits include free food health and dental insurance and learning and development opportunities.

foodpanda is proud to be a company that believes in diversity and representation as key to creating not only an exciting product but also an amazing customer and employee experience. We hire people based on merit and qualifications and do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status or any other aspect that makes you you. If you have a disability or special need that requires accommodation please let your Talent Acquisition partner know.

To all recruitment agencies: foodpanda does not accept third-party resumes. Please do not send resumes to our jobs alias foodpanda employees or any other organization location. foodpanda is not responsible for any fees related to unsolicited resumes.

Remote Work :

No

Employment Type :

Full-time