Lead Applied AI Software Engineer - AI

Responsibilities architect comprehensive end-to-end AI systems lead deployment of AI systems into production environments with strong observability design scalable data ingestion architectures drive quantitative evaluation and continuous improvement of AI systems through establishment of evaluation frameworks mentor engineers at various levels through technical guidance foster a culture of responsible AI development that prioritizes ethics, transparency, and user benefit Requirements over 7 years of experience in software engineering with a strong focus on applied AI/ML Bachelor's degree in Computer Science, Engineering, Data Science, or a related field deep expertise designing and deploying production-grade generative AI systems strong technical proficiency in Python, including advanced language features and design patterns experience with modern web application frameworks, such as React and FastAPI strong knowledge of AI‑specific technologies, including vector databases, embedding models, LLM APIs, and orchestration frameworks established organization‑wide best practices for prompt engineering Hard Skills AI systems architecture data ingestion architecture Python React FastAPI generative AI systems vector databases embedding models LLM APIsorchestration frameworks Soft Skills mentoring technical guidance leadership communication fostering culture responsible AI development ethics transparency user benefit continuous improvement Certifications & Qualifications Bachelor's degree in Computer Science Bachelor's degree in Engineering Bachelor's degree in Data Science #J-18808-Ljbffr Jobtailor