AI Data Engineer - Elastic

Expedient is excited to announce an opening for an AI Data Engineer on our team. This role is pivotal in shaping the future of Expedient's AI-driven services, focusing on the data aspects of AI application development using the Elastic platform. The ideal candidate will have a deep understanding of Elasticsearch, Logstash, Kibana, and the Elastic platform's built-in vector database. They should also have experience building RAG applications using Elastic. 

 This role demands a candidate with a profound depth of technical knowledge, a passion for AI-driven solutions, and a zest for continuous learning. Travel for this position is estimated at 10% of the time. 

Expedient is a leading provider of multi-cloud platforms, security services, and infrastructure as a service (IaaS) solutions. For more information about our technology and our teams, please visit us at www.expedient.com

Sponsorship is not provided for this role. 

 RESPONSIBILITIES of the AI Data Engineer:  

• Collaborate with the lead AI Architect to build Enterprise-grade AI applications using the Elastic platform as a core element of the data infrastructure 

• Serve as the top technical resource for all aspects data storage, access, and flow within the AI stack and across multiple data storage platforms 

• Evaluate emerging AI technologies and integrate them with our Elastic-based solutions. 

• Produce comprehensive documentation detailing the functionality and architecture of developed solutions. 

• Stay updated with the latest trends in AI, machine learning, and Elastic platform development 

• Prioritize tasks effectively in high-pressure situations. 

REQUIREMENTS of the AI Data Engineer: 

• Extensive experience with the Elastic / ELK Stack platform 

• Extensive experience in the development of Elastic based reporting solutions 

• Experience configuring and performance tuning large Elastic clusters 

• Strong understanding of Elasticsearch index optimization 

• Experience building production-grade visualizations in Kibana 

• Deep understanding of document level security, workplace search, and datastreams 

• Strong problem-solving skills and the ability to think algorithmically. 

• Excellent verbal and written communication skills. 

PREFERRED SKILLS of the AI Data Engineer: 

• Experience in building RAG applications using Elastic.

• Experience working with Large Language Models to build consumable applications. 

• Familiarity with containerization tools like Docker and Kubernetes. 

•Familiarity with open-source AI libraries such as TensorFlow, PyTorch, and scikit-learn. 

• Bachelor of Science degree in Computer Science, Engineering, or a related field. 

Salary for this position is directly aligned with your technical skills and experience. Annual salary range for this position is estimated at $100,000 to $130,000