AI Engineer

SystemsAccountants Limited
Mundelein, IL, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

AI Evaluation Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Business Systems Information Engineering Data Infrastructure Python (Programming Language) Machine Learning Netsuite Tensorflow Salesforce.Com
+8 more
Search Technologies Software Engineering Systems Integration Workflow Management Systems Enterprise Software Applications Grafana Virtual Agents Databricks

Job description

  • AI agent frameworks and orchestration tools \n

  • Vector databases and semantic search technologies \n

  • AI evaluation, monitoring, and observability tools \n

  • Experience integrating with platforms such as Salesforce and NetSuite and / or comparable ERP systems and tools. \n

Requirements

  • 5+ years of experience with a combination of data engineering, AI, machine learning, software engineering, or related disciplines \n

  • Strong Python development experience \n

  • Experience with modern AI/ML frameworks and large language model technologies \n

  • Hands-on experience with Azure cloud services \n

  • Experience with Databricks and modern data platforms \n

  • Experience integrating enterprise applications, APIs, and business systems \n

  • Understanding of AI governance, compliance, and responsible AI practices \n

  • 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

  • Develop and support AI agents, retrieval-augmented generation (RAG) solutions, and enterprise integrations \n

  • Collaborate with stakeholders to translate business requirements into technical solutions \n

  • Provide technical leadership, architecture guidance, and mentorship to development teams \n

  • Establish best practices around AI governance, security, deployment, and scalability \n

  • Support AI adoption through documentation, training, and knowledge sharing \n

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