Backend Engineer, Generative AI Services

OPPO US Research Center, Palo Alto, United States

What our tracking knows about this posting

Published on 26 June 2025 · first appeared in our records on 21 September 2026.

Stable posting: first seen on 21 September 2026, with no abnormal reposting.

This posting shows no salary, while 40% of open postings in the same sector in this country (United States) do.

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OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and high-performance RESTful APIs that serve as the backbone for our generative AI-powered Android applications. You will work primarily with platforms like Google Cloud or Azure to bring advanced AI capabilities directly to our users' mobile phones. This is a unique opportunity to build mission-critical services that will define how users interact with AI in a mobile platform, from concept to deployment. Core Development & Infrastructure • Design, develop, and maintain scalable RESTful APIs in Python to power generative AI features • Integrate backend services provided by the platform such as GCP Vertex AI or developed internally Performance & Systems • Optimize API performance and scalability for global Android users • Contribute to architectural design of distributed systems (availability, fault tolerance) Collaboration & Operations • Work closely with Android and ML teams on API contracts and model integration • Implement monitoring, logging, and security best practices for production systems Quality & Innovation • Ensure code quality through testing (unit, integration, E2E) and documentation • Stay updated on generative AI and cloud technology trends Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • 3+ years of professional backend software development experience, with a focus on building and deploying RESTful APIs. • Proficiency in Python and one of the associated web frameworks (e.g., Flask, Django). • Demonstrable experience with at least one major cloud platform (AWS, Azure, or GCP) • Experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., Firestore, MongoDB). • Solid understanding of microservices architecture, asynchronous processing, and event-driven systems. • Experience with version control systems, particularly Git. • Strong problem-solving skills, with the ability to debug complex systems and diagnose issues across the stack. Preferred Qualifications: • Master's degree in Computer Science, AI, or a related field. • Direct hands-on experience integrating with Google Cloud Platform's Vertex AI APIs (e.g., PaLM, Gemini, Imagen, Codey, etc.) • Experience with containerization technologies (Docker) and orchestration (Kubernetes, Cloud Run, GKE). • Familiarity with CI/CD pipelines and DevOps practices. • Understanding of fundamental machine learning and deep learning concepts, especially in the context of generative AI. • Experience or strong interest in building APIs specifically for mobile applications (Android/iOS). • Knowledge of data streaming technologies (e.g., Kafka, GCP Pub/Sub). • Experience with caching technologies (e.g., Redis, Memcached). • The ability to collaborate effectively with cross-functional teams.

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