Senior Software Engineer

ECPI University
Virginia Beach, VA, United States
8 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$100,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis JIRA HTML5 Microsoft Azure Cascading Style Sheets (CSS) Mobile Application Development
+45 more
Software as a Service Cloud Computing Cloud Database Cloud Engineering Computer Programming Databases Continuous Integration Information Engineering Extract Transform Load (ETL) DevOps Web Development Github Design of User Interfaces Identity and Access Management Python (Programming Language) PostgreSQL Machine Learning Microsoft SQL Server Node.Js Parsing Performance Tuning Software Architecture Systems Development Life Cycle OpenAI Cloud Services Azure Data Lake Next.js Requirements Management Search Technologies Software Engineering TypeScript Cloud Platform System Data Ingestion ReactJS Retrieval-Augmented Generation Large Language Models Indexer Gitlab Vue.js AI Platforms Kubernetes Api Design Multiplatform Docker Microservices

Job description

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., 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.

Responsibilities

Software Architecture:

Design and develop multi-platform AI applications using cloud architecture. Define specs, plan system design, and oversee the full development lifecycle.

AI Application Development:

Build LLM-powered tools for faculty, staff, and students. Use Azure AI Foundry, AWS Bedrock, OpenAI APIs, and related cloud AI services.

RAG Systems:

Design and optimize RAG pipelines. Implement embeddings, chunking, retrieval logic, hybrid search, and vector search using Azure and AWS native vector stores.

Database and Vector Storage:

Work with SQL Server, PostgreSQL, and cloud native vector storage. Handle data ingestion, indexing, and performance tuning.

Agile Project Management:

Use Agile methods and tools such as Azure DevOps or Jira for planning and delivery.

Professional Development:

Stay current with new AI models, embeddings methods, vector search techniques, and cloud AI tools.

Requirements

Software Engineering, Establish Priorities, Artificial Intelligence (AI), Multiplatform/Cross-Platform, Cloud Architecture, Product Lifecycle, Requirements Management, Cloud Applications, Software Development, Shallow Parsing, Education:

Bachelor’s degree in a relevant field, or related experience

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

Technical Proficiency:

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

Bonus Skills

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

Benefits & conditions

Why Join ECPI?

  • Shape the digital front door for thousands of students.
  • Play a key role in transitioning to modern platforms and technologies.
  • Collaborative, mission-driven culture.
  • Competitive salary plus full benefits.

Benefits of Employment

ECPI University provides comprehensive benefits to full-time employees, some of which are highlighted below:

  • 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

ECPI University is proud to be an Equal Opportunity Employer.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…