Senior AI & Cloud Engineer — LLM/RAG, On-Site VA Beach

ECPI University

Virginia Beach (VA)

On-site

USD 100,000 - 120,000

Full time

30 hours ago
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Benefits offered by this job

Tuition scholarship
Medical and dental plans
PTO and holidays

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • Design and develop multi-platform AI applications using cloud architecture; define specs and oversee full lifecycle.
  • Build LLM-powered tools for faculty, staff and students using Azure/AWS/OpenAI APIs.
  • Design and optimize RAG pipelines with embeddings, chunking, retrieval logic, and vector search.
  • Work with SQL Server, PostgreSQL, and cloud native vector stores; handle data ingestion and indexing.

Skills

JavaScript
TypeScript
Python
Node.js
Next.js
HTML5
CSS3
LLM integration
Embeddings
Vector search

Education

Bachelor's degree

Tools

Azure DevOps
Jira
OpenAI APIs
Kubernetes
Docker
GitHub
GitLab

Job description

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.

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