About us:
Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.
Intuitive Superpowers:
- DataOps & AI/ML
- Cloud Native, AppSecOps, DevSecOps
- Cloud Migration & Transformation
- Cloud FinOps
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job:
Title AI Data Platform Engineer Knowledge Systems & RAG Infrastructure
Start date: Immediate
Position Type: Full Time
Location: Remote across USA/ Canada/ India
Role Overview:
You will build the intelligent data foundation that powers our enterprise AI deployments. Your focus will be on ensuring the context, accuracy, and hyper-performance of the data layers feeding our large-scale applications, enabling contextual intelligence at an enterprise scale.
Key Responsibilities:
- Pipeline Engineering: Build and maintain scalable batch and real-time data ingestion and embedding pipelines.
- Infrastructure Management: Manage and optimize vector databases, data lakes, and lakehouses to support massive GenAI workloads.
- Performance Optimization: Continuously optimize retrieval performance, data quality, and data lineage to ensure accurate LLM grounding.
- Data Unification: Enable the seamless unification of structured and unstructured enterprise data for consumption by AI models.
Required Qualifications:
- Experience: 3+ years of dedicated experience in data engineering.
- Technical Stack: Strong proficiency with Spark, Databricks, Snowflake, Python, and SQL.
- System Design: Proven experience architecting robust APIs and highly available data pipelines for enterprise environments.
Never miss an opportunity! Create an alert based on the job you applied for.
