Principal Full Stack AI Engineer

Role: AI Full-Stack Engineer responsible for designing and deploying AI-powered applications and agents that enhance internal and user-facing systems. Core responsibilities include end-to-end solution development across user interfaces, APIs, data integration, agent orchestration, and internal platform collaboration; iteratively improving agent behaviors based on operational data; and ensuring solutions adhere to security, compliance, and responsible AI principles. Qualifications: Bachelor's in Computer Science, AI, Data Science, or related field; experience in full-stack development, AI workflows, large language models, and building production AI applications; expertise in API integration, multi-step workflows, testing, observability, and secure development practices. Preferred skills include experience with enterprise AI solutions, orchestration frameworks, human-in-the-loop workflows, and AI observability, especially within regulated sectors such as biotech or healthcare. High-value specifics: focus on AI-native software engineering, agent orchestration, API/tool integration, and scalable enterprise AI solutions. Work setup: hybrid or on-site, with flexibility options.