GenAI Engineer / iOS Engineer
Harsh PandeyUnited StatesMIDPosted 13d ago
ClaudeAgentic AIAI code generationCoding agentsSwiftUIUIKitFoundationMVCMVVMRESTful APIsiPhone accessibilityCircle CIGenerative AIMachine LearningDeep LearningOpenAI APILangChainHugging FacePythonPyTorchTensorFlowKerasMulti-modal dataAI agent architecturesGoogle Model GardenAmazon BedrockNvidia NIM
About the Role
We are seeking a self-motivated GenAI Engineer / iOS Developer with a passion for solving complex problems using AI and Generative AI. This role requires equal parts hands-on expertise in iOS Mobile Development and Generative AI to design, prototype, and build innovative solutions for a large, complex healthcare organization.
Key Responsibilities
• Design, build, and fine-tune models and agentic AI systems to enhance data understanding, recommendation systems, and current application capabilities.
• Develop mobile prototypes, Proofs of Concept (PoCs), and Minimum Viable Products (MVPs), with a focus on scaling applications to iOS.
• Collaborate with diverse teams across a large organization to incorporate AI/GenAI features into mobile products.
• Perform code reviews and utilize AI coding agents to improve software quality, velocity, and design standards.
• Implement design patterns (MVC, MVVM) and leverage RESTful APIs for seamless backend integration.
• Ensure iOS applications adhere to iPhone accessibility standards and modern deployment pipelines (Circle CI).
Requirements
• Proficient in SwiftUI, UIKit, Foundation, and core iOS frameworks.
• Experience with architecture patterns (MVC, MVVM) and RESTful API integrations.
• Experience building mobile prototypes and scaling apps to enterprise-grade mobile platforms.
• Knowledge of iPhone accessibility features and CI/CD tools (e.g., Circle CI).
• Strong foundation in AI, Machine Learning, Deep Learning principles, and Agentic AI.
• Hands-on experience with Claude, OpenAI API, LangChain, and Hugging Face.
• Expertise in Python and Deep Learning frameworks (PyTorch, TensorFlow, Keras).
• Familiarity with multi-modal data, AI agent architectures, and coding agent tools.
• Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia NIM.