AI Engineer

Role: GenAI EngineerLocation: Austin, TXEmployment Type: Not specifiedSalary: $130,000 / yearFull Time Role - NO C2CMust Have Technical/Functional SkillsApple Content Solutions Team is looking for an outstanding Software experience for a project based on Generative AI. Candidate must show deep understanding of LLMs and should be able to integrate with LLMs while also leveraging it for day to day work.Strong Java and Python FoundationExtensive hands on in Java and PythonDevelop and maintain AI-driven automation solutionsTrack the effectiveness of AI automation solutions, continuously refining them based on user feedback and evolving requirementsFamiliarity with AI agentic frameworks, MCPs and LLM libraries (e.g., Anthropic SDK)Understanding of LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practicesExperience in CI/CD with building tools such as Maven and JenkinsExperience with Kubernetes for container orchestration and deployment at scaleWork with project managers to ensure that all project deliverables are on time and high qualityWork collaboratively with other teams: QA, DevOps, UX etcExceptionally good at documentation and explaining our core technical processesPrior Apple experience is a Strong plusRoles & Responsibilities5+ years hand on industry experience is a mustResponsibilities:Creating new tests to verify APIs built by third-party partners to ensure they correctly implemented Apple Pay featuresDefining test coverage for new features, creating and maintaining automated server test cases, reporting test resultsContributing to the design and development of testing toolsPrioritizing, scheduling, and communicating the status of your workDiving deep to resolve highly technical issues in complex systemsTriaging automation failures and driving them to quick resolutionExpertise communicating clearly and concisely with ability to tailor communication to a given audienceStrong organizational skills enabling both independent and team workMinimum QualificationsStrong proficiency coding in Java/Kotlin is a mustExperience developing API tests using automated testing frameworks specially REST and troubleshooting test failuresStrong analytical and problem-solving skills with a focus on critical thinking and a testability mindsetAbility to apply creativity and analytical thinking to all kinds of problems, such as test case design and building robust automationBS or MS in Computer science or equivalent experiencePreferred QualificationsGood understanding of CI/CD principles and the optimal way to design testing strategy for cloud applicationsContainerization and virtualization using Docker, Kubernetes, or related technologiesFamiliarity with AI/ML solutions

Created: 2026-05-09