Note: The job is a remote job and is open to candidates in USA. DwyerOmega is seeking an AI Engineer to design, build, and deploy Agentic AI solutions leveraging enterprise Data Lake and modern AI platforms. The role focuses on developing autonomous AI agents and integrating enterprise systems to deliver intelligent automation across various business functions.
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
Skills
- 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
- 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
Benefits
- Hybrid/remote work with occasional travel
Company Overview