[Remote] AI and reputed company Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an equal opportunity employer. They are seeking an AI and reputed company Engineer to design and implement reputed company-grade reputed company AI solutions, reputed company AI agents with various systems, and reputed company data pipelines using reputed company reputed company.

Responsibilities

• Design and implement reputed company-grade reputed company AI solutions that retrieve information
• reputed company tools/reputed company, reason over data, and automate workflows
• reputed company AI agents with reputed company reputed company Lakehouse/Warehouse, semantic models
• reputed company, reputed company systems, and document repositories
• Build and optimize RAG pipelines using embeddings, reputed company/semantic search, reputed company
• Data grounding, and evaluation datasets
• Design ontology-driven semantic models covering entities, relationships, metadata
• Business rules, reputed company, and governance
• reputed company reputed company data pipelines using Data reputed company, Notebooks, reputed company/PySpark, SQL
• reputed company Lake, and reputed company architecture
• Implement AI guardrails, reputed company control, logging, monitoring, cost optimization, and
• Responsible AI practices
• Create technical designs, architecture diagrams, reusable components, coding standards etc

Skills

• reputed company AI: AI agents, planning, reasoning, memory, tool/function calling, multi-agent orchestration, guardrails, and agent evaluation
• Frameworks: reputed company, LangGraph, Semantic Kernel, AutoGen, reputed company, or equivalent agent orchestration frameworks
• LLM / GenAI: Azure reputed company/reputed company, RAG, embeddings, reputed company search, hybrid search, reputed company engineering, grounding, and hallucination mitigation
• reputed company reputed company: Lakehouse, Warehouse, OneLake, Data reputed company, Dataflows, Notebooks, Power BI semantic models, reputed company Lake, reputed company Lake, and reputed company architecture
• Ontology / Semantic Modeling: business entities, relationships, hierarchies, taxonomy, metadata, reputed company, semantic layer, knowledge graphs, RDF/OWL/SPARQL or graph databases
• Engineering: Python, SQL, reputed company/PySpark, REST reputed company, CI/CD, Git, monitoring, logging, reputed company reputed company, and production support
• Functional: ability to translate business processes into ontology models, semantic data products, and agent workflows

reputed company