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TL;DR
Fullstack Developer (AI) (LLM/RAG and Cloud): Building and maintaining ECPI University’s proprietary AI suite with an accent on LLM applications, RAG pipelines, vector storage, and Azure and AWS cloud services. Focus on designing scalable AI applications, optimizing retrieval and embeddings, developing APIs, and tuning SQL and vector databases.
Location: On-site in Virginia Beach, Virginia, United States; this is not a remote position.
Salary: $100,000–$120,000 per year
Company
ECPI University is an education institution focused on helping students achieve academic and career goals through industry-focused programs and a practical education model.
What you will do
- Support the Director of AI and Analytics in building and maintaining the university’s proprietary AI suite.
- Design multi-platform AI applications and define system specifications, architecture, and development plans.
- Build LLM-powered tools using Azure AI Foundry, AWS Bedrock, OpenAI APIs, and related cloud AI services.
- Design and optimize RAG pipelines, including embeddings, chunking, retrieval logic, hybrid search, and vector search.
- Develop scalable APIs and SDKs and manage data ingestion, indexing, and performance tuning.
- Use Agile methods and tools such as Azure DevOps or Jira for planning and delivery.
Requirements
- On-site work in Virginia Beach, Virginia, United States is required.
- 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 developing AI/LLM applications and 2+ years of experience with AI-assisted coding.
- Proficiency in JavaScript, TypeScript, Python, Node.js, Next.js, HTML5, CSS3, SQL Server, and PostgreSQL.
- Experience with LLM integration, embeddings, vector search, cloud-native RAG solutions, scalable API development, Azure AI Foundry, AWS Bedrock, and OpenAI APIs.
Nice to have
- React or Vue experience.
- Cloud architecture, scalable microservices, networking, security, and IAM experience.
- Data engineering experience with Azure Data Lake, S3, cloud data warehouses, and ETL/ELT.
- Mobile development experience for iOS or Android.
- DevOps and CI/CD experience with Docker, Kubernetes, GitHub, GitLab, and CI pipelines.
Culture & Benefits
- Collaborative, mission-driven work supporting students and modernizing university platforms.
- Stable work environment with professional growth opportunities.
- Comprehensive benefits for full-time employees, including medical and dental plans.
- Tuition scholarship program for full-time employees and immediate family members after 90 days.
- PTO, holiday pay, and 401(k) participation with possible employer contributions.
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