Hiring Independent W2 Artificial Intelligence Engineer W2 Contract

Role – AI Engineer - Enterprise AI Agents & Microsoft Fabric Job Description: • Developing AI Agents – copilot studio • Ideally want MS Fabric • React or Angular for front end work Required Skills Core Technical Expertise • 5+ years AI/ML development with enterprise data integration • 3+ years Microsoft Fabric, Azure Data Lake, or similar lakehouse platforms • Advanced Python with AI/ML libraries (LangChain, LlamaIndex, Transformers) • SQL/KQL proficiency for complex data querying and analysis • Vector database expertise (FAISS, Pinecone, Weaviate, ChromaDB) • RAG system architecture and implementation at enterprise scale AI & Machine Learning • Multi-LLM integration (OpenAI, Anthropic, Google, Cohere APIs) • Prompt engineering and advanced AI agent orchestration • Embedding models and semantic search optimization • Fine-tuning experience with domain-specific models • AI safety and governance implementation Enterprise Integration • Microsoft Fabric Data Lake and Delta Lake architecture • SharePoint API integration and document processing • RESTful API design and microservices architecture • Real-time data streaming and event-driven systems • Enterprise security and authentication (OAuth, SSO) Development & Deployment • Full-stack development (React/Angular frontend, FastAPI/Node.js backend) • Cloud platforms (Azure preferred, AWS/GCP experience valued) • Containerization (Docker, Kubernetes) and DevOps practices • CI/CD pipelines and automated testing frameworks AI Platform Experience • Multiple LLM providers (OpenAI, Anthropic, Google, Cohere) for text and multimodal processing • Vector databases (FAISS, Pinecone, Weaviate, ChromaDB) for semantic search across business data • Document processing tools (PyPDF2, PDFplumber, Tesseract OCR, Azure Document Intelligence) • Integration frameworks for Infor M3, Salesforce, Anaplan, Uncountable PLM, and Freshworks • Frontend frameworks (React, Angular, Vue.js) and backend (FastAPI, Django, Node.js) Data Platform Knowledge • Microsoft Fabric Data Lake, Delta Lake, and lakehouse architecture expertise • Structured data access from Fabric tables containing ERP, CRM, and planning data • SharePoint integration for document libraries and collaborative content • File system monitoring and processing for external unstructured data sources • Azure Data Factory and Fabric Data Factory for ETL/ELT pipelines • Power BI integration for data visualization and reporting within Fabric ecosystem Preferred Qualifications & Certifications • Microsoft Fabric Analytics Engineer or Azure AI Engineer Associate certification • Bachelor's/Master's degree in Computer Science, AI/ML, or related field • Enterprise AI implementation experience in manufacturing or finance • Apache Spark and big data processing experience • Power BI development and advanced analytics • Agile/Scrum methodology and cross-functional team collaboration • Technical leadership and mentoring experience