To design and build intelligent, agent-based systems leveraging Model Context Protocol (MCP) and advanced LLM frameworks. This role focuses on developing autonomous AI agents capable of tool use, memory management, multi-step reasoning, and system orchestration across enterprise environments.

The ideal candidate will architect scalable agentic workflows, integrate APIs and data sources via MCP standards, implement context-aware memory systems, and ensure safe, reliable AI execution. Responsibilities include prompt engineering, tool integration, evaluation frameworks, guardrail implementation, and performance optimization.

Strong experience with LLM ecosystems (e.g., OpenAI APIs), multi-agent architectures, retrieval-augmented generation (RAG), and production-grade deployment is required. Familiarity with AI safety, monitoring, and human-in-the-loop systems is highly preferred.

Experience in agent-based systems leveraging Model Context Protocol (MCP) and advanced LLM frameworks.

Minimum 3 month on the job experience using GitHub Copilot

Proficient in SwiftUI development and have a good knowledge of its ecosystems

Good knowledge of performance limits and characteristics

Knowledge of memory management and multi-threading

Client-facing role

will be working directly with the client and the technical team (both offshore and nearshore)

Expected to write complex code

Good knowledge of Core Data and Web Service Integration

Understanding of crash reporting and analytics framework integration

Experience in the integration of pods

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 tool, 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

Airlines experience