Job Details

The ideal candidate is hands on with AI systems engineering, has experience integrating multiple models and runtimes, and is passionate about building secure, scalable, and efficient AI solutions that power next-generation agentic applications.

Responsibilities

• Hybrid AI Agent Development: Architect, build, and optimize AI agents that run seamlessly across device and cloud environments.
• MCP Service Integration: Leverage and extend MCP services to enable flexible orchestration, tool integration, and agent coordination.
• Agentic Routing and Planning: Implement routing logic and reasoning strategies to improve decision-making and planning across multi-agent and multi-model systems.
• Model Runtime Engineering: Work with different model runtimes, frameworks, and backends to maximize performance.
• Security and Compliance: Ensure model safety, sandboxing, data governance, and secure execution across devic...