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Strong employer brand, mid-level generalist title, metro location, and 4+ years target increase applicant competition.
AI engineering skills transferable across industries, but .NET enterprise and prompt-engineering needs add moderate specificity.
Explicit 4+ years plus mandatory .NET and AI integration skills create stringent technical filters.
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Lead design, development, deployment, and maintenance of complex software systems with AI/ML capabilities integrated end-to-end within your domain.
Manage project execution, prioritization, and delivery timelines ensuring high quality and performance standards.
Provide mentorship to junior engineers and conduct code reviews to uphold technical excellence and best practices.
Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
4+ years of professional software development experience.
Expertise in C#, .NET, and JavaScript; experience with version control (GitHub) and work tracking tools (JIRA).
Hands-on experience designing, building, or integrating AI/ML capabilities into production software systems; understanding of cloud technologies and DevOps principles.
Demonstrated ability to lead AI-enabled software development projects with end-to-end ownership in a DevOps environment.
Experienced in applying AI-assisted development tools and prompt engineering techniques to accelerate software engineering workflows.
Capable of managing project priorities and mentoring junior engineers, with a strong focus on scalable and maintainable architectural design.