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Generalist AI title, hybrid role, and mid-tier brand yield moderate applicant competition.
Core AI engineering skills are transferable, though enterprise Microsoft integrations add some domain specificity.
No explicit years requirement but common AI/LLM and integration skills required, so moderate filtering.
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Develop, test, deploy, and support AI-powered applications and automation solutions using generative AI and machine learning.
Assist in building prompts, workflows, AI assistants, and integrate AI solutions with Microsoft 365, Teams, SharePoint, and other enterprise applications.
Maintain technical documentation, participate in Agile ceremonies, and follow secure coding and data privacy best practices.
Basic understanding of Artificial Intelligence and Machine Learning concepts.
Knowledge of Generative AI, Large Language Models, and Python programming.
Familiarity with SQL, REST APIs, Git/GitHub, and cloud platforms (Microsoft Azure, AWS, or Google Cloud).
Work Experience Required: Not explicitly mentioned in the JD.
Shows foundational experience or strong interest in AI/ML technologies with ability to assist and support senior engineers.
Comfortable working within Agile teams and following software development lifecycle practices.
Has some exposure to enterprise AI platforms and Microsoft technology stack including Copilot and Azure AI tools.