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SuperAIDevs
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Engineer: AI

DwyerOmega · ·

Full-timeRemotePosted 4 days agoSalary estimated
$0K–$0K est.Bottom 20%
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About the Role

Job Type Full-time Description Position Summary We are seeking an AI Engineer to design, build, and deploy Agentic AI solutions leveraging the enterprise Data Lake and modern AI platforms. The role will focus on developing autonomous AI agents, integrating enterprise systems, orchestrating workflows, and delivering intelligent automation across Finance, Supply Chain, Operations, and other business functions. Key Responsibilities Design and develop Agentic AI solutions using LLMs, AI frameworks, and orchestration platforms. Build AI agents that retrieve, reason over, and act on enterprise data stored in the Data Lake. Develop RAG solutions using vector databases and enterprise knowledge sources. Integrate AI solutions with ERP, CRM, Microsoft Fabric, Azure, APIs, and databases. Design secure automation workflows for approvals, journal entries, document processing, and operational processes. Develop Python services, REST APIs, and event-driven integrations. Implement monitoring, guardrails, prompt engineering, and model evaluation. Collaborate with Data Engineering, BI, Security, and Business stakeholders. Document architecture, standards, and reusable AI components. Requirements Qualifications & Education Bachelor's degree in Computer Science, AI, Data Engineering, or related field. 3+ years developing AI/ML or software solutions. Experience with Azure AI, Microsoft Fabric, Azure OpenAI, or similar cloud AI platforms. Strong Python, SQL, REST API, and Git skills. Knowledge of LLMs, RAG, vector databases, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks. Experience with Data Lakes, Spark, ETL/ELT, and enterprise integrations. Understanding of AI governance, security, and responsible AI. Preferred Skills Experience integrating SAP, Oracle, Dynamics, or other ERP systems. Knowledge of Power BI, Microsoft Copilot Studio, Power Platform, and automation tools. Experience with CI/CD, Docker, Kubernetes, and Azure DevOps. Exposure to multi-agent systems and workflow orchestration. What We're Looking For Innovative problem solver. Strong communication and stakeholder engagement. Ability to translate business problems into AI solutions. Passion for automation and continuous improvement. Work Conditions Hybrid/remote work with occasional travel. Participation in after-hours deployments may be required. Show more Show less

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About DwyerOmega

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Glassdoor
AI Seriousness
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