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ECPI University seeks an experienced software engineer to develop AI/LLM applications and maintain the university’s AI suite. You will focus on RAG systems, vector storage, and cloud-native services across Azure and AWS, collaborating with a Director of AI and Analytics and other developers.
You will contribute to architecture, data storage, and agile delivery while staying current with AI models, embeddings, and cloud AI tools.
Good Faith Pay Range: In accordance with Virginia law, the good-faith pay range for this position is $100,000 - 120,000 per year. Actual compensation will be determined based on the candidate's qualifications, education, experience, skills, and other legitimate business factors.
This is not a remote position. This position will be based at our Virginia Beach, VA location.
Since 1966, ECPI University’s employees have been dedicated to helping students achieve their academic and career goals through our unique education model. Our culture is to prioritize our students’ success through the support of our dynamic team and industry focused curriculum.
ECPI University provides a stable work environment, with professional growth opportunities, and competitive benefits. If you are interested in joining us in making a difference in students’ lives, we would love to hear from you to discuss the opportunity.
Support the Director of AI and Analytics and work with other developers to build and maintain ECPI University’s proprietary AI suite. Focus on LLM applications, RAG systems, vector storage, and cloud native services in Azure and AWS.
Design and develop multi-platform AI applications using cloud architecture. Define specs, plan system design, and oversee the full development lifecycle.
Build LLM-powered tools for faculty, staff, and students. Use Azure AI Foundry, AWS Bedrock, OpenAI APIs, and related cloud AI services.
Design and optimize RAG pipelines. Implement embeddings, chunking, retrieval logic, hybrid search, and vector search using Azure and AWS native vector stores.
Work with SQL Server, PostgreSQL, and cloud native vector storage. Handle data ingestion, indexing, and performance tuning.
Use Agile methods and tools such as Azure DevOps or Jira for planning and delivery.
Stay current with new AI models, embeddings methods, vector search techniques, and cloud AI tools.
Bachelor’s degree in a relevant field, or related experience
6+ years of software engineering experience in software development and cloud-based applications
2+ years of experience with AI/LLM application development
2+ years of experience in AI Assisted coding
ECPI University provides comprehensive benefits to full-time employees, some of which are highlighted below:
ECPI University is proud to be an Equal Opportunity Employer.