Job Description
100% Remote
Yearlong contract with extensions
Large Fortune 500 company
We are seeking a Data Engineer with AI expertise to design and maintain scalable data pipelines while integrating advanced language model applications. The role requires proficiency in Python, Py Spark, and web frameworks like Fast API. You will be responsible for leveraging vector stores and retrievers to enable real-time document processing and querying, while deploying robust, scalable solutions on AWS to solve complex business challenges at the intersection of data engineering and applied AI.
Required Technical Skills
- Proficiency in Python, with practical experience using web frameworks such as Fast API.
- Advanced expertise in data technologies, including SQL, Py Spark, and Databricks.
- Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, Lang Chain, and related Generative AI libraries and APIs.
- Experience deploying and managing containerized applications (Docker/Kubernetes) using CI/CD pipelines, adhering to best practices for automation, versioning, security, and reliability.
- Strong understanding of AWS cloud services, including EKS, EC2, RDS, and other core offerings.
Yearlong contract with extensions
Large Fortune 500 company
We are seeking a Data Engineer with AI expertise to design and maintain scalable data pipelines while integrating advanced language model applications. The role requires proficiency in Python, Py Spark, and web frameworks like Fast API. You will be responsible for leveraging vector stores and retrievers to enable real-time document processing and querying, while deploying robust, scalable solutions on AWS to solve complex business challenges at the intersection of data engineering and applied AI.
Required Technical Skills
- Proficiency in Python, with practical experience using web frameworks such as Fast API.
- Advanced expertise in data technologies, including SQL, Py Spark, and Databricks.
- Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, Lang Chain, and related Generative AI libraries and APIs.
- Experience deploying and managing containerized applications (Docker/Kubernetes) using CI/CD pipelines, adhering to best practices for automation, versioning, security, and reliability.
- Strong understanding of AWS cloud services, including EKS, EC2, RDS, and other core offerings.
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