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# AI Engineer

- **Company:** Brooksource
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800 - $145,600
- **Contract:** Contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apple IOS, Apple Xcode, Mobile Application Development, Databases, Cursor, Programming Tools, Mobile Application Software, Machine Learning, OpenAI, Software Engineering, Systems Architecture, Multi-Agent Systems, Caching, Backend, Agentic-AI, Build Management, AI Platforms, Amazon Bedrock, CrewAI, Virtual Agents
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/2d6ef18d-0332-4e34-bf02-c77f3b24e719

## About the Role

* 5+ years of software engineering experience, with strong proficiency in Python development
 * Experience building AI-driven applications or agent-based systems in enterprise environments
 * Hands-on experience with AWS AI services, particularly Amazon Bedrock
 * Strong understanding of AI system architecture, orchestration, and distributed agent systems
 * Experience integrating AI models through APIs (e.g., OpenAI, Anthropic) or similar services
 * Familiarity with development tools such as Cursor, VS Code, or similar AI-assisted environments
 * Ability to design and implement systems involving caching, databases, and scalable backend services
 * Strong communication skills with the ability to mentor engineers and collaborate across teams
 * Experience building agents within Amazon Bedrock Agent Core (preferred)
 * Familiarity with agent development kits and agent orchestration frameworks (preferred)
 * Experience with LangGraph, CrewAI, or similar agent frameworks (preferred)
 * Exposure to mobile development environments such as Xcode or iOS integrations (preferred)
 * Background in designing multi-agent systems where agents coordinate and communicate (preferred)
 * A senior engineer who can see the bigger picture and design scalable AI architectures
 * Strong work ethic, curiosity, and passion for AI innovation
 * Ability to teach, mentor, and elevate the technical capabilities of the team
 * A builder who understands how to move quickly while still making sound architectural decisions

## Description

Our client is seeking a Senior AI Engineer for a contract-to-hire, remote position focused on accelerating the development of AI-driven capabilities across their iOS platform. As a critical member of the team, you will design and build enterprise-grade AI agents, provide technical leadership in AI agent architecture and system design, and mentor junior engineers. You will help the team adopt best practices in agentic AI development, optimize engineering processes, and drive the integration of scalable AI systems using modern agentic frameworks. This role offers opportunities for professional growth, comprehensive benefits, and the chance to work with cutting-edge AI technologies in a collaborative, innovative environment.
WHAT YOU'LL DO

 * Design and build enterprise-scale AI agents using modern agentic frameworks and architectures
 * Develop AI systems that function as standalone applications capable of reasoning, communicating, and coordinating with other agents
 * Architect solutions leveraging Amazon Bedrock Agent Core and related AWS AI services
 * Define and evaluate architectural trade-offs for performance, cost, scalability, and reliability
 * Implement key infrastructure components such as caching layers, databases, and orchestration systems for agent workflows
 * Collaborate closely with the iOS engineering team to integrate AI-powered capabilities into mobile applications
 * Support AI-enabled features within development environments like Xcode and Cursor
 * Ensure AI systems are designed to support mobile-first experiences and scalable backend integrations
 * Mentor junior engineers and help elevate the team's AI engineering capabilities
 * Provide guidance on best practices for AI development, system design, and agent orchestration
 * Improve workflows, tooling, and engineering processes to accelerate team productivity
 * Work with modern agent frameworks such as LangGraph, CrewAI, and Strands
 * Apply AI-assisted development tools to accelerate iteration and development cycles
 * Evaluate new approaches to agentic development, including agent reasoning, knowledge storage, and inter-agent communication