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# AI Engineer

- **Company:** VDart, Inc.
- **Location:** Raleigh, NC, United States
- **Salary:** $47,840.0 - $56,160.0
- **Contract:** Temporary to permanent
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Cloud Computing, Data Cleansing, Extract Transform Load (ETL), DevOps, Elasticsearch, Apache Hadoop, PostgreSQL, Machine Learning, MySQL, NoSQL, Open Source Technology, Apache Solr, SQL Databases, Large Language Models, Apache Spark, Software Application Programming, Cloudformation, Kubernetes, Information Technology, Deployment Automation, Graphql, Restful APIs, Terraform, Docker, Jenkins
- **Published:** September 10, 2026
- **Apply:** https://www.careerjet.com/jobad/us4b263e02e3a9f08db98817143c814456

## About the Role

* Proven experience in building customer facing ML based APIs
 * Experience in developing applications that are scalable to handle TBs of data
 * Strong knowledge of API integration (RESTful, GraphQL).
 * Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
 * Familiarity with deployment tools (Docker, Kubernetes).
 * Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
 * Excellent problem-solving and communication skills.
 * Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
 * Ability to work collaboratively in an agile team environment., * Degree in Computer Science, Data Science, or related field.
 * Certifications in machine learning, data science, or cloud computing.
 * Portfolio showcasing past projects or contributions to open-source projects.

## Description

* Building standalone applications that interact with LLM models
 * Building RAG-based applications
 * Understanding of Vector DBs like Solr for LLM based applications
 * Integrate models with existing systems and APIs.
 * Implement production quality ETL jobs
 * Preprocess and manage data for training and deployment.
 * Collaborate with cross-functional teams to define, design, and ship new features.
 * Write clean, maintainable, and efficient code.
 * Document development processes, code, and APIs.


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