AI and Fabric Engineer

Job Title: AI and Fabric Engineer

Location:

REMOTE
Hire Type:
Full time

• Agentic AI: AI agents, planning, reasoning, memory, tool/function calling, multi-agent orchestration, guardrails, and agent evaluation.
• Frameworks: Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, CrewAI, or equivalent agent orchestration frameworks.
• LLM / GenAI: Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation.
• Microsoft Fabric: Lakehouse, Warehouse, One Lake, Data Factory, Dataflows, Notebooks, Power BI semantic models, Direct Lake, Delta Lake, and medallion architecture.
• Ontology / Semantic Modelling: business entities, relationships, hierarchies, taxonomy, metadata, lineage, semantic layer, knowledge graphs, RDF/OWL/SPARQL or graph databases.
• Engineering: Python, SQL, Spark/PySpark, REST APIs, CI/CD, Git, monitoring, logging, cloud security, and production support.
• Functional: ability to translate business processes into ontology models, semantic data products, and agent workflows

• Design and implement enterprise-grade agentic AI solutions that retrieve information, call tools/APIs, reason over data, and automate workflows.
• Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models, APIs, enterprise systems, and document repositories.
• Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation datasets.
• Design ontology-driven semantic models covering entities, relationships, metadata, business rules, lineage, and governance.
• Develop Fabric data pipelines using Data Factory, Notebooks, Spark/PySpark, SQL, Delta Lake, and medallion architecture.
• Implement AI guardrails, access control, logging, monitoring, cost optimization, and responsible AI practices.
• Create technical designs, architecture diagrams, reusable components, coding standards etc.