AI Engineer Role

The work

AI Engineers build and operate systems that turn data, documents, models, and AI services into useful applications and workflows. The work runs from understanding the problem and preparing inputs through model or service selection, system design, evaluation, deployment, monitoring, incident response, and continuous improvement.

This is systems engineering around AI behavior. AI Engineers connect data pipelines, models, APIs, user experiences, business rules, and human-review paths, then test the complete system under conditions that reflect how people will use it. They make limitations visible and match security, traceability, and oversight to the consequences of the work.

What you'll build

• Document and content pipelines that apply OCR, parse layouts, extract and validate information, preserve provenance, and make authoritative content usable downstream.
• Predictive, classification, recommendation, natural language, computer vision, or decision-support services that combine custom models, pretrained models, externally provided AI services, and deterministic software.
• Search and knowledge applications that use retrieval, retrieval-augmented generation (RAG), controlled source access, and traceable references.
• Workflow and agent-based systems with scoped tools, permission boundaries, approval paths, exception handling, and audit trails where agentic patterns fit the problem.