Staff AI Engineer

Saxon Global • Raleigh, NC

3d

About The Position

We are seeking a Staff AI Engineer to join our team. This role requires a deep understanding of building and deploying AI systems from scratch into production. You will be responsible for architecture ownership, making technology selections, designing systems, and communicating technical tradeoffs. A strong software engineering foundation and active coding skills are essential. You will work with LLMs, agents, RAG/embeddings, model selection, and modern AI application architecture. The ideal candidate will have product sense, experience translating ambiguous business problems into technical solutions, and a focus on production maturity, including AI evals, observability, reliability, latency, cost, failure handling, and post-deployment system improvements. This role also involves technical leadership, including mentoring engineers and influencing technical direction while remaining hands-on.

Requirements

• Experience building and deploying AI systems from scratch into production.
• Experience selecting technologies and patterns, designing systems, and communicating technical tradeoffs.
• Strong software engineering foundation and active coding skills.
• Strong experience with LLMs, agents, RAG/embeddings, model selection, and modern AI application architecture.
• Experience working directly with customers/users and translating ambiguous business problems into technical solutions.
• Experience with AI evals, observability, reliability, latency, cost, failure handling, and improving systems after deployment.
• Experience mentoring engineers and influencing technical direction.

Responsibilities

• Personally build and deploy AI systems from scratch into production.
• Select technologies and patterns, design systems, and communicate technical tradeoffs.
• Apply strong software engineering principles and actively code.
• Work with LLMs, agents, RAG/embeddings, model selection, and modern AI application architecture.
• Translate ambiguous business problems into technical solutions.
• Implement AI evals, observability, reliability, latency, cost, and failure handling.
• Improve AI systems after deployment.
• Mentor engineers and influence technical direction.
• Remain hands-on with development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed