Software Engineer, Applied AI, Tools & Infrastructure

Job Summary: Apple is a leading technology company seeking an Applied AI engineer to develop intelligent applications and systems that enhance hardware testing through data-driven insights. The role involves building scalable software solutions, collaborating with hardware and software engineering teams, and implementing AI/ML applications to automate workflows and provide valuable insights. Responsibilities: • Implement robust, full-stack GenAI-oriented applications using modern software engineering best practices, including a Python/FastAPI backend, a React/Next.js TypeScript frontend, AWS RDS and ElastiCache data stores, and containerized deployments on AWS EKS with Helm and Terraform • Extend and maintain a multi-tenant EKS platform that enables users to build, deploy, and run their own applications in Kubernetes pods, with integrated build pipelines, sidecars, and session-affinity reverse proxy at 5,000+ pod scale • Design and integrate GenAI capabilities into the platform, including agentic workflows, AI agent skills, LLM-powered web features, and production-grade inference pipelines • Drive the scope of engineering projects independently, identifying new opportunities, defining requirements, and moving through the full project lifecycle from concept to deployment • Assist technical leads with guiding a team of external contractors, providing code reviews and support to ensure fast, high-quality delivery • Implement and operate production observability with OpenTelemetry tracing, Prometheus metrics, and structured logging to ensure application reliability and performance • Cultivate strong partnerships across engineering and business teams, acting as both a visionary and translator between software and non-software audiences • Tailor communication and presentations to multidisciplinary audiences while delivering regular updates on project implementation Qualifications: Required: • B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field • 3+ years software engineering experience with strong foundation in CS fundamentals, including data structures, algorithms, and proficiency building production web applications using Python (FastAPI, SQLAlchemy), TypeScript (React/Next.js), and cloud-scale containerized services on Kubernetes (EKS, Helm, Terraform) • 2+ years experience with applied AI Engineering, building software leveraging GenAI and ML to create production-level solutions to business needs, and enhance organizational and development workflows • Proven ability to drive projects independently: defining scope, collaborating with stakeholders, working with leadership to define requirements, and moving projects toward completion • Strong communication and presentation skills, with the ability to articulate technical concepts to diverse audiences while thriving in a fast-paced, evolving environment Preferred: • M.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field • Passion for quality and attention to detail; proactive in researching and assessing emerging technologies (AI/ML models, protocols, and techniques), and integrating them into production • Expertise in Kubernetes networking (NetworkPolicies, ingress, service mesh, sidecars, pod-to-pod TLS), particularly in enterprise environments with corporate proxies and WAFs • Strong experience building multi-tenant platforms that execute user-submitted code, including container image builds, workload isolation, RBAC systems, and secure callback architectures. • Experience building or integrating agentic AI systems, LLM tool-use patterns, or AI-assisted development workflows • Leadership experience with the ability to lead contractors and mentor peers • Experience with production observability stacks: OpenTelemetry, Prometheus, structured logging, distributed tracing, and dashboarding tools such as Grafana • Track record of successfully growing the scope of engineering projects from initial proof-of-concept to organization-wide adoption • 4+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications • Experience with computer vision technologies and techniques, especially for segmentation, anomaly detection, and objective grading is a plus Company: Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.

Created: 2026-03-09