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Strong employer brand and mid-level role, but specialized GenAI-mobile skillset reduces candidate pool.
Specialized GenAI, cloud, and mobile engineering skills moderately limit cross-industry transferability.
Multiple explicit years requirements and many mandatory AI, cloud, mobile, and tool-specific skills.
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Lead end-to-end development and delivery of full-stack AI-driven mobile products integrating GenAI and agent capabilities.
Own outcome-driven engineering solutions with accountability for quality, cost (inference, token, cloud), and performance.
Collaborate cross-functionally to design, test, deploy, and maintain scalable AI/ML mobile applications with modern software engineering practices.
Bachelor's degree in CS, Software Engineering, Data Science, ML, or related field.
5+ years experience with full-stack technologies including Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain.
3+ years of hands-on experience building AI/ML and GenAI agentic applications including LLM integration (OpenAI, Anthropic, or open source), RAG pipelines, prompt engineering, vector databases.
2-5+ years mobile development experience with technologies such as SwiftUI, Kotlin, Xamarin, plus 3+ years Flutter ecosystem experience (Dart, Dio, Freezed, Lottie, RealmDB).
Experienced engineer combining deep AI/ML technical skills with full-stack and mobile development proficiency in cloud-native, cost-aware environments.
Capable technical leader and advocate who ensures alignment of engineering output with business and customer outcomes, emphasizing lean, scalable solutions.
Skilled collaborator able to integrate diverse cross-functional inputs and rapidly deliver iterative, high-quality AI-augmented products.