Senior Software Engineer

ECPI University • Virginia Beach, VA

7d • Onsite

About The Position

Transform your Career at ECPI University 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. Position Summary 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.

Requirements

• 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
• JavaScript, TypeScript, Python, Node.js
• Next.js, HTML5, CSS3
• LLM integration, embeddings, vector search, cloud native RAG solutions
• Azure AI Foundry, AWS Bedrock, OpenAI APIs, model endpoints, and orchestration
• SQL Server, PostgreSQL, and cloud native vector stores on Azure or AWS
• Scalable API and SDK development
• Agile workflows and task tools

Nice To Haves

• React or Vue
• Designing cloud architectures (Azure preferred, AWS appreciated), deploying scalable microservices, networking, security, IAM / identity, etc.
• Data ingestion & indexing, familiarity with Azure Data Lake, S3, or cloud data warehouses, ETL/ELT basics, vector database operations
• iOS or Android
• Docker, Kubernetes, GitHub, GitLab, and CI pipelines

Responsibilities

• 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.

Benefits

• Tuition scholarship program available to full-time employees and their immediate family members after 90 days of employment
• Competitive compensation and medical/dental benefit plans
• PTO and holiday pay
• 401(k) participation with possible employer contributions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior