IT AI Engineer II

Purpose and Scope

The Applied AI Engineer will help design, develop, and deploy generative and agent-based AI solutions throughout the organization. Work centers on real-world production use cases, focusing on practical AI applications such as agentic workflows, retrieval-augmented generation (RAG), prompt engineering, and AI-driven automation. The role places a strong emphasis on moving projects from experimentation to reliable, well-governed production environments. The AI Engineer is a hands-on, builder-focused role and collaborates closely with software engineers, data engineers, product owners, and business stakeholders to integrate AI capabilities into operational workflows across Tolmar.

Essential Duties & Responsibilities

Applied AI & Agentic Solutions

• Build and enhance AI‑powered applications and agents that support real business workflows (e.g., document analysis, task delegation, knowledge retrieval, decision support).
• Implement agentic patterns such as tool‑calling, multi‑step reasoning, and workflow orchestration in collaboration with senior engineers.
• Develop and manage prompt strategies, prompt templates, and prompt evaluation techniques for reliability and reuse.
• Implement retrieval‑augmented generation (RAG) using enterprise data sources and vector databases.

Engineering & Production Readiness

• Help transition AI solutions from prototype to production, focusing on reliability, observability, and cost awareness.
• Package AI capabilities as APIs, services, or integrations consumable by other applications.
• Contribute to CI/CD pipelines and deployment patterns for AI applications (model updates, prompt changes, configuration).
• Monitor AI solutions in production and assist with troubleshooting performance, accuracy, or usability issues.

Data, Integration & Platform Collaboration

* Work with data engineers to integrate AI solutions with governed data sources (e.g., Fabric, Dataverse,