Generative AI Engineer

Role Summary

• The AI / Information Engineer will design and deploy production-grade AI systems and data infrastructure within Microsoft Fabric, combining LLM development, agentic workflows, data engineering, and user-facing application development.
• Own the implementation of RAG systems, model deployment pipelines, cross-system integrations, and intuitive interfaces that drive measurable business impact.

Core Responsibilities

AI & Agent Development

• Build agentic AI systems using LangChain, LlamaIndex, or AutoGen with multi-step reasoning, tool calling, and memory management
• Deploy RAG pipelines using Azure OpenAI/OpenAI with Pinecone, Weaviate, or Azure AI Search
• Fine-tune and evaluate models for classification, semantic search, and summarization
• Develop custom agents for procurement analysis, energy audits, and municipal RFP automation

User Interface & Application Development

• Build Power Apps (canvas/model-driven) with AI capabilities and custom connectors
• Develop Power Pages portals for external users (RFP tools, audit dashboards, document analysis)
• Build Power BI dashboards with embedded AI insights and natural language features
• Design intuitive UI/UX for AI applications with structured user testing
• Build custom PCF components using TypeScript/React
• Integrate AI into SharePoint using SPFx, Power Automate, and custom pages

Model Operations & Monitoring

• Prepare labeled training datasets and validation pipelines
• Deploy models to Azure using Azure ML, containers, or REST APIs
• Build monitoring dashboards for performance, usage, and cost
• Maintain model registry, versioning, and rollback documentation

Data Platform Engineering

• Design Lakehouse architecture in Microsoft Fabric using Delta Lake and medallion structures
• Build ELT pipelines from ERP/CRM systems and custom APIs
• Optimize SQL databases, indexes, and stored procedures
• Implement data quality checks using Great Expectations or Python validators

Integration & Automation

• Configure Boomi or similar iPaaS integrations across ERP, CRM, document management, and IoT systems
• Build REST APIs with FastAPI or Flask for AI inference and business logic
• Embed AI into SharePoint, Teams, and custom React apps
• Automate workflows using Power Automate to reduce manual effort
• Develop Power Platform custom connectors with authentication and error handling

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Experience

• 2–4 years in Data Engineering, ML Engineering, or AI Engineering with production deployment experience

Technical Requirements

Programming & AI

• Python proficiency (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Hands-on LLM development with GPT-4, Claude, or Llama; prompt engineering and function calling
• Built at least two production RAG systems

Data Platform

• Microsoft Fabric experience with pipelines, Lakehouse, and SQL endpoints
• SQL expertise with complex queries and optimization
• SQL Server experience with tables, stored procedures, and security

Front-End Development

• Power Apps (canvas/model-driven) with custom connectors
• Power BI semantic models, DAX, and RLS
• Power Pages with Liquid templates and API integrations
• PCF component development in TypeScript/React
• SharePoint development with SPFx and Graph API
• Modern web development (HTML, CSS, JS/TS, React/Vue)

Integration

• Boomi or equivalent iPaaS experience
• REST API development with authentication and documentation
• Custom connector development for Power Platform

AI Tools (Preferred)

• Experience configuring Microsoft 365 Copilot, ChatGPT Enterprise, or similar tools

Professional Skills

• Translate business requirements into technical specifications
• Document architectures, data flows, and runbooks
• Work with IT security on compliance and data governance
• Deliver user training and documentation for AI-enabled tools

Preferred Qualifications

• Azure cloud services (Azure ML, Functions, AI Services, Key Vault, App Insights)
• MLOps (CI/CD, GitHub Actions/Azure DevOps, MLflow)
• Vector database optimization and embedding strategies
• DevOps (Git, Docker, Kubernetes, Pytest)
• Power Platform certifications (PL-100, PL-200, PL-400)
• UX/UI design experience (Figma, Adobe XD)

Job Type: Full-time

Pay: $120,000.00 - $155,000.00 per year

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Retirement plan
• Vision insurance

Education

• Bachelor's (Required)

Experience

• Python: 2 years (Required)
• AI engineering: 2 years (Required)

Ability to Commute

• Cleveland, OH 44109 (Required)

Work Location: In person