[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Delivery Hero · Singapore # Senior Software Engineer (Data & AI) Singapore Full-time Senior individual contributor Software Engineering Listed on Delivery Hero’s official careers site. Posted October 28, 2026. Check that it is still open and apply there. [Apply on Delivery Hero’s careers site →](https://jobs.smartrecruiters.com/DeliveryHero/744000158197189-senior-software-engineer-data-ai-) [OpenNash Jobs](https://jobs.opennash.com/) / [Delivery Hero](https://jobs.opennash.com/companies/delivery-hero/) / Senior Software Engineer (Data & AI) ## Job description 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 foodpanda’s footprint in APAC and Europe. In this role, applied AI takes center stage—grounded 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 team’s 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 team’s 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 team's 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 You’ve developed LLM-powered applications, agentic workflows, or related systems, and understand the challenges of taking AI solutions from experimentation into production. ### AI Evaluation & Observability You’ve 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 You’re comfortable navigating ambiguity, working directly with stakeholders, and making thoughtful decisions when there isn’t 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 don’t 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: You’ve 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 You’ve worked with technologies such as BigQuery, dbt, Apache Airflow, PySpark, or lake house architectures. ### Knowledge & Semantic Systems You’ve 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 You’ve shipped product features end-to-end and are comfortable working across frontend, backend, and model integrations. ### Developer Experience You’ve built internal platforms, developer tools, or infrastructure that improve how other engineers build, test, or operate software. ## At a glance - Posted by the employer: Oct 28, 2026 - First seen by OpenNash: Nov 2, 2026 - Last checked: Nov 9, 2026 - Listed for: 12 days - Location: Singapore - Employment type: Full-time[Apply on Delivery Hero’s careers site →](https://jobs.smartrecruiters.com/DeliveryHero/744000158197189-senior-software-engineer-data-ai-) ## Hiring at Delivery Hero - Open jobs: 816 - New in the last 7 days: After two weekly collections - Tracked since: Oct 12, 2026 [All Delivery Hero jobs](https://jobs.opennash.com/companies/delivery-hero/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Delivery Hero ### [Junior Fullstack Software Engineer](https://jobs.opennash.com/companies/delivery-hero/jobs/8c1cf06e8bd1bf409f4e/) Singapore ### [Principal Backend Software Engineer](https://jobs.opennash.com/companies/delivery-hero/jobs/d7098a600d14420781ac/) Singapore ### [Senior Backend Software Engineer](https://jobs.opennash.com/companies/delivery-hero/jobs/afa1d8b1df3233134e87/) Singapore ### [Senior Fullstack Software Engineer I](https://jobs.opennash.com/companies/delivery-hero/jobs/71e3c8329f6e01b874e0/) Singapore ### [iOS Software Engineer II](https://jobs.opennash.com/companies/delivery-hero/jobs/4dc3ee9ef186d6b4eace/) Singapore ## Similar jobs at other companies ### [Data Platform Software Engineer (Python), Data Platform - Splunk](https://jobs.opennash.com/companies/cisco-systems/jobs/7d874f817eb18f218ffd/) Cisco Systems · Krakow, Poland ### [Software Engineer III - Data Engineer](https://jobs.opennash.com/companies/jpmorganchase/jobs/dfebcf547bf74f75b83d/) JPMorganChase · Hyderabad, Telangana, India ### [Software Engineer III - Big Data, AWS, Spark - Data Engineering](https://jobs.opennash.com/companies/jpmorganchase/jobs/157ea1f3f0037387dcf5/) JPMorganChase · Bengaluru, Karnataka, India ### [Software Engineer 2 - Data](https://jobs.opennash.com/companies/microsoft/jobs/52bd04eb4fa0c7708c3b/) Microsoft · Taiwan, Taipei City, Taipei ### [Software Engineer - Data Analytics and Reporting](https://jobs.opennash.com/companies/siemens/jobs/09172192e32fb883fefb/) Siemens OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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