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Strong employer brand, mid-level generalist AI role in metro location attracts many qualified applicants.
Requires specialized GenAI, agentic AI, and cloud engineering experience limiting cross-industry transferability.
Explicit years and many mandatory AI, cloud, and full-stack tech requirements.
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Build and enhance full-stack AI-driven products embedding GenAI and agentic capabilities, ensuring high-quality, outcome-focused solutions.
Own engineering accountability for design integrity, code quality, production deployment, cloud/inference cost management, and ongoing product maintenance.
Collaborate cross-functionally from concept to production, integrating diverse perspectives and driving lean, iterative delivery with rapid customer feedback.
Bachelor's degree in CS, software engineering, data science, machine learning, or related field.
3+ years experience in full-stack development with technologies like Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, and related AI frameworks.
2+ years building AI/ML and agentic applications including hands-on GenAI with LLM integration, RAG pipelines, prompt engineering, vector databases, and orchestration.
2+ years cloud-native engineering experience with hyperscaler platforms (Azure, AWS, GCP) and cloud AI/ML services; experience with DevSecOps tools and methodologies; ability to travel ~10%.
Experienced engineer comfortable leading technically and advocating product goals aligned with customer and business outcomes in a large-scale enterprise environment.
Proficient in rapid iterative full-stack AI product delivery incorporating AI/ML lifecycle tools, cost-aware cloud engineering, and multi-disciplinary collaboration.
Strong ability to translate complex domain needs into maintainable, high-quality code with an emphasis on scalable AI-driven feature development and continuous improvement.