Project Description Customer is looking for an AI Engineer with iOS experience. Responsibilities Design and build intelligent, agent-based systems leveraging Model Context Protocol (MCP) and advanced LLM frameworks. Develop autonomous AI agents capable of tool use, memory management, multi‑step reasoning, and system orchestration across enterprise environments. Architect scalable agentic workflows, integrate APIs and data sources via MCP standards, implement context‑aware memory systems, and ensure safe, reliable AI execution. Perform prompt engineering, tool integration, evaluation framework development, guardrail implementation, and performance optimization. Leverage strong experience with LLM ecosystems (e.g., OpenAI APIs), multi‑agent architectures, retrieval‑augmented generation (RAG), and production‑grade deployment. Familiarity with AI safety, monitoring, and human‑in‑the‑loop systems is highly preferable. Mandatory Skills Experience in agent‑based systems leveraging MCP and advanced LLM frameworks. Minimum 3 months of job experience using GitHub Copilot. Proficient SwiftUI development and good knowledge of its ecosystem. Good knowledge of performance limits and characteristics. Knowledge of memory management and multithreading. Client‑facing role – working directly with the client and the technical team (both offshore and nearshore). Strong coding skills – expected to write complex code. Good knowledge of Core Data and web service integration. Understanding of crash reporting and analytics framework integration. Experience in integration of CocoaPods. Good sense of UI design and a user‑oriented focus. Implementation of automated testing platforms and unit tests. Understanding of Apple's design principles and interface guidelines. Proficient understanding of code versioning tools, especially Git. Solid understanding of handling exceptions and memory leaks. Solid understanding of design patterns. Good understanding of agile methodologies. Excellent written and oral communication skills. #J-18808-Ljbffr