Role OverviewWe’re hiring for a hands-on AI engineering leader to join a global technology leader at their Raleigh–RTP campus. You’ll design and build multi-agent AI systems, Model Context Protocol (MCP) integrations, and an internal AI development platform used by engineering teams across the organization.
What You Will Do
Design and build multi-agent AI systems, build MCP servers and clients, contribute to the architecture of an internal AI platform, write high-quality, production-ready code, and help set engineering best practices for AI development.
Why It Might Be a Fit
8–12 years of professional software engineering experience, strong programming skills in Python or Java, solid system design skills, experience building and deploying on cloud platforms, excellent written and verbal communication skills, and a bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience.
Requirements
- 8–12 years of professional software engineering experience
- Strong programming skills in Python or Java
- Solid system design skills
- Experience building and deploying on cloud platforms (AWS, Azure, or GCP), with Docker and Kubernetes
- Excellent written and verbal communication skills
- A bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience
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