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Medium: metro senior AI engineering role with moderate brand and niche agentic AI specialization.
Medium: applied AI engineering skills are transferable, though agentic AI experience is somewhat specialized.
Medium: senior technical requirements and mandatory languages/CI-CD/testing but no explicit years filter.
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Design, develop, and maintain complex, high-quality software based on functional specifications ensuring adherence to standards and timely delivery.
Lead technical discussions, perform complex peer code reviews, mentor team members, and influence engineering practices and team standards.
Incorporate business value into engineering decisions, lead planning sessions and work estimation, and resolve escalated production issues.
Utilize AI-assisted and agentic AI development tools to enhance code quality, innovation, and productivity across the engineering team.
Bachelor's degree or equivalent experience in software engineering or related field.
Strong programming skills in one or more of Java, C/C++, C#, Python, or JavaScript with solid understanding of data structures, algorithms, and software design.
Experience with continuous software delivery, build environments, CI/CD pipelines, test automation, and development in Windows/Linux using open-source tools.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude) and agentic AI frameworks for autonomous workflow and intelligent code generation.
Familiarity with agentic AI patterns including multi-agent orchestration, tool-use, memory management, and autonomous task execution in enterprise software.
Experience with LLM APIs, prompt engineering, RAG architectures, cloud platforms (AWS or Azure), and containerized environments (Docker, Kubernetes) for cloud-native applications.