AI Engineer
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Role details
Tech stack
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Job description
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AI agent frameworks and orchestration tools \n
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Vector databases and semantic search technologies \n
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AI evaluation, monitoring, and observability tools \n
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Experience integrating with platforms such as Salesforce and NetSuite and / or comparable ERP systems and tools. \n
Requirements
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5+ years of experience with a combination of data engineering, AI, machine learning, software engineering, or related disciplines \n
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Strong Python development experience \n
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Experience with modern AI/ML frameworks and large language model technologies \n
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Hands-on experience with Azure cloud services \n
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Experience with Databricks and modern data platforms \n
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Experience integrating enterprise applications, APIs, and business systems \n
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Understanding of AI governance, compliance, and responsible AI practices \n
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Strong communication and stakeholder management skills \n
Benefits & conditions
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Design and implement AI and machine learning solutions for business applications \n
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Develop and support AI agents, retrieval-augmented generation (RAG) solutions, and enterprise integrations \n
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Collaborate with stakeholders to translate business requirements into technical solutions \n
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Provide technical leadership, architecture guidance, and mentorship to development teams \n
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Establish best practices around AI governance, security, deployment, and scalability \n
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Support AI adoption through documentation, training, and knowledge sharing \n
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