AI Engineer

Job Purpose

The Mid-Level AI Engineer delivers secure, scalable, and production-ready AI and machine learning solutions. This role builds models, pipelines, components, and tooling aligned to Hollard’s engineering, security, and governance standards. The AI Engineer is responsible for building AI agents, applying inference-driven approaches to create innovative business solutions, and using agentic development workflows to design and deliver intelligent applications. The role operates with increasing independence and acts as the bridge between junior delivery and senior technical leadership.

• Using Large Language Models to build out innovative solutions – either for inference or Agentic AI Solutions.
• Develop reusable, well-documented engineering assets including scripts, components, and APIs.
• Implement testing, monitoring, evaluation, versioning, and governance patterns.

• Build and maintain AI agents using Microsoft AI Agent Services and Azure OpenAI.
• Implement agent capabilities such as planning, memory, tool invocation, and RAG.
• Contribute to development and maintenance of MCP servers and MCP tools.
• Participate in orchestration of multi-agent or multi-tool interactions.
• Ensure agents are secure, observable, maintainable, and production-ready.

• Apply enterprise architecture principles and AI platform standards.
• Ensure development follows Hollard’s security, development, and compliance policies.
• Contribute to improvements in shared engineering tool chains and accelerators.
• Align with cloud, data, platform, and integration architectures.

• Expose AI capabilities and agent functions through RESTful APIs.
• Design versioned API interfaces using OpenAPI/Swagger.