Principal Software Engineer, Mobile + AI (iOS/Android)

Our goal is to transform the field service industry by blending embedded assistive features with configurable agents. Mobile Agents empower users to streamline workflows, leverage unique mobile capabilities, and personalize their AI interactions in ways that maximize field service productivity and flexibility. What we’re looking for: expert engineers with a track record of developing AI focused applications for mobile.

At Salesforce, our engineers are always learning new things. We pride ourselves on writing high-quality code and maintainable systems that make our lives easier across the technology stack: Java, Kotlin, Swift, Objective C, C++, ReactNative, and Javascript. Every engineer works on exciting, meaningful projects that impact our technical and product strategy.

Your Impact:

• Provide technical expertise in the feature design and act as guard of code and product quality.
• Build breakthrough AI-driven features for enterprise mobile applications that users will love—with a focus on intelligent design and usability.
• Prototype and build innovative AI-driven features using the latest AI APIs and SDKs on the Mobile platform, focusing on integrating offline-capable LLMs to deliver intelligent, context-aware user experiences.
• Solve complex business problems while ensuring the product is highly scalable, secure, and performant.
• Grow and scale our AI-centric mobile platform.
• Mentor your peers or be mentored by your peers in various in-house mentorship roles and challenge yourself to grow. We value continuous growth!

What you should have:

• 10+ years Android or iOS development experience.
• Excellent software engineering talent who is passionate to always learn and apply latest technologies to work.
• Deep understanding of the AI ecosystem on mobile platforms, including experience with platform-specific AI tools and frameworks such as TensorFlow Lite for Android or Core ML for iOS. Proven ability to leverage these tools to build, train, and deploy machine learning models effectively on the respective platform.
• Demonstrated experience in optimizing and deploying AI models for on-device inference on mobile platforms, ensuring minimal latency and optimal performance.
• Expertise and interest in designing, building, and maintaining features and libraries on Android or iOS.
• Experience with web applications, databases or hybrid stack is a plus.