Jefferson Health
Expert Software Engineer – AI Development
1100 Virginia Drive · Full-time · Posted Sep 26, 2026
- Experience
- 7 years in software development; also states roughly 5+ years of relevant software engineering experience, or equivalent depth. Preferred: 10 years with a track record of solving complex technical challenges and mentoring engineers.
- Education
- Bachelor’s degree in Computer Science, Engineering, or related field, or high school diploma/GED and 10 years preferred work experience.
About the job
Owns the lifecycle of AI-enabled applications and services, from AI-assisted development and engineering standards to testing, deployment, modernization, and ongoing support.
What you'll do
- Develop, maintain, modernize, and support AI-enabled applications and services.
- Establish engineering practices and implement automated testing, CI/CD, deployment, security, and Responsible AI safeguards.
- Monitor application reliability and performance, collaborate across teams, and mentor engineers in AI-assisted development.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or related field, or high school diploma/GED and 10 years preferred work experience.
- 7 years in software development, including distributed systems and cloud platforms.
- Production experience with AI-assisted development tools/platforms and experience establishing engineering standards and practices.
- Experience with testing, CI/CD, deployment, legacy modernization, observability, and application security, privacy, and compliance.
Nice to have
- Master’s degree in Computer Science, Engineering, or related field.
- Experience with agentic AI systems, RAG architectures, healthcare or other regulated industries, and application modernization.
Tools
AI-assisted development tools/platforms, distributed systems, cloud platforms, automated testing, CI/CD, observability/telemetry platforms, agentic AI systems, Retrieval-Augmented Generation (RAG)
AI focus
Build and maintain AI-enabled applications, use AI-assisted development tools, set practices for AI-generated software, and support Responsible AI. Preferred work includes agentic AI and RAG architectures.
Model-written summary · the original posting is authoritative