
1001 - 5000 employees
🏥 Healthcare
🍽️ Food & Beverage
📚 Education
Healthcare • Food & Beverage • Education
ECPI University is a private, career-focused university founded in 1966 that offers accelerated, hands-on associate, bachelor’s and master’s degree programs across technology, nursing, health sciences, business, criminal justice, and culinary arts. It provides on-campus programs at multiple locations in the U. S. and a robust online learning option (Online+) designed for working students and military personnel, emphasizing practical skills development, accelerated completion timelines, and career services.
🔥 1 minute ago
🇺🇸 United States – Remote
⏱ Part Time
🟡 Mid-level
🟠 Senior
🖥 Software Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 11%
Where this job comes from
Posted on ECPI University's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

1001 - 5000 employees
🏥 Healthcare
🍽️ Food & Beverage
📚 Education
Healthcare • Food & Beverage • Education
ECPI University is a private, career-focused university founded in 1966 that offers accelerated, hands-on associate, bachelor’s and master’s degree programs across technology, nursing, health sciences, business, criminal justice, and culinary arts. It provides on-campus programs at multiple locations in the U. S. and a robust online learning option (Online+) designed for working students and military personnel, emphasizing practical skills development, accelerated completion timelines, and career services.
• Serve as institutional subject matter expert for AI-augmented software development • Guide curriculum design across the full undergraduate software development program • Design, develop, and refine curriculum covering AI-assisted coding, LLM-based application development, prompt engineering, AI-augmented architecture and design thinking, and responsible AI development • Teach courses at the intersection of software development and artificial intelligence using real-world tools, scaffolded projects, and industry-aligned case studies • Model AI-augmented development workflows using AI coding assistants, LLM API integration, and prompt-driven design and documentation practices • Incorporate secure coding principles, including OWASP Top 10 and CWE, into instruction • Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools • Collaborate with academic leadership to align curriculum with current industry expectations • Stay current with generative AI, agentic coding tools, LLM frameworks, and professional software development practices
• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field OR Master's degree with 18+ graduate semester hours in the discipline • 3–5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments • Demonstrated hands-on expertise in AI-augmented software development, including AI-assisted coding workflows, LLM API development, prompt engineering, or agentic development tools • Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners • AI-assisted coding tools and workflows, such as GitHub Copilot, Kilo Code, Cursor, or equivalent • LLM concepts and application development using LLM APIs, such as OpenAI or Anthropic • Prompt engineering principles and patterns for software development contexts • Core software development fundamentals: OOP, data structures, version control, and debugging • Secure coding awareness: OWASP Top 10, CWE, and AI-introduced vulnerability patterns • Ph.D. strongly preferred • Teaching or mentoring experience preferred • Preferred knowledge of agentic AI frameworks, cloud AI/ML development services, AI ethics frameworks, full-stack web development with AI integration, and AI-augmented architecture and design thinking methodologies • Preferred certifications include GitHub Copilot or GitHub Foundations, AWS Certified Developer, Azure Developer Associate, Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer, recognized LLM/generative AI development credentials, Certified Scrum Master, or SAFe Agile practitioner • Excellent collaboration, communication, and organizational skills • Commitment to responsible AI development and ethical software creation
• Part-time employment • Remote work • Equal Opportunity Employer
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