GenAI Platform Engineer, Applied Machine LearningDesign, develop, and maintain robust AI platforms to power generative AI use-cases. Collaborate with cross-functional teams to deploy, optimize, and monitor GenAI solutions in production environments. Build and maintain tools to streamline development and experimentation.
Description We are seeking a talented GenAI Platform Engineer to join our team and help build the next generation of AI-powered applications. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the infrastructure and tools that power our generative AI use-cases. You will work closely with data scientists, machine learning engineers, and software engineers to bring innovative AI solutions to Enterprise.
Responsibilities: Platform Development: Design, develop, and maintain robust and scalable GenAI Solutions, including inference services, automated workflows and data ingestion systems.Infrastructure Optimization: Optimize infrastructure resources to maximize efficiency and minimize costs.Tool Development: Build and maintain tools for model experimentation, visualization, and monitoring.Collaboration: Collaborate with cross-functional teams to understand their needs and translate them into technical solutions.Stay Updated: Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies.Minimum Qualifications: BS in computer science or related technical degree.2+ years of industry experience in software engineering or machine learning engineering.Strong proficiency in programming languages like Java or Python.Familiarity with GenAI frameworks (LangChain, LlamaIndex, etc.).Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).Preferred Qualifications: Solid understanding of Data Structures and Algorithms.Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.Knowledge of CI/CD pipelines and DevOps practices.Strong problem-solving and analytical skills.Excellent communication and collaboration skills.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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