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.
RequirementsCore 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.
BenefitsThe US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.
