16 часов назад
AI Data Engineer (AI)
63 360 - 114 120$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Engineer (RAG/Vector Databases): Building high-performance data infrastructure and real-time pipelines for autonomous systems, with an accent on Retrieval-Augmented Generation, vector embeddings, semantic layers, and data quality guardrails. Focus on designing scalable vector database infrastructure, detecting noise, bias, and PII, and deploying reliable CI/CD pipelines for AI data systems.
Location: USDALFRI - Dallas Frisco AI HUB (FRI), United States
Salary: $63,360–$114,120 annually for a full-time schedule, with location-specific ranges for California, Colorado, Massachusetts, New York City, Washington, and Washington, DC. Eligible roles may also receive a discretionary annual bonus.
Company
designs, builds, manages, and modernizes mission-critical technology systems for enterprise clients and communities.
What you will do
- Design and scale real-time data pipelines for Retrieval-Augmented Generation and transform unstructured IT logs and documentation into vector embeddings.
- Manage the health and performance of vector databases such as Pinecone, Milvus, and Weaviate, targeting sub-second retrieval for agentic AI systems.
- Build knowledge graphs and semantic layers that provide contextual information for AI agents operating across complex infrastructure environments.
- Develop automated data guardrails to identify noise, bias, and personally identifiable information before data reaches AI models.
- Identify and resolve data quality issues at the source and build, deploy, and maintain CI/CD pipelines for data infrastructure.
Requirements
- Expertise in data mining, data storage, and ETL processes.
- Experience developing data pipelines and using tools such as Glue, Databricks, Synapse, or Dataproc.
- Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
- Strong problem-solving, analytical, and critical-thinking skills with close attention to detail.
- Ability to manage multiple projects and translate business needs into technical requirements for technical and non-technical stakeholders.
Nice to have
- Experience as a Data Engineer or in cloud modernization.
- Data modeling experience and a degree in Computer Science, Software Engineering, Information Technology, or a related scientific discipline.
- Professional or cloud certifications in data engineering, including AWS, Elastic, Google Cloud, or Microsoft Azure.
- Experience with GitHub and Visual Studio.
Culture & Benefits
- Full-time employment with medical and dental coverage, disability benefits, retirement benefits, paid leave, and paid time off.
- Access to learning programs and certification opportunities from Microsoft, Google, Amazon, Skillsoft, and other providers.
- Growth opportunities through hands-on experience, professional development, and work with Fortune 100 clients.
- Inclusive workplace supported by employee inclusion networks and volunteering and giving programs.
- Applications are accepted on a rolling basis.
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