GenAI Engineer

GenAI Engineer

Location: Austin, TX/Onsite Duration: Full Time

Must Have Technical/Functional Skills

• Strong Java and Python Foundation
• Extensive hands on in Java and Python
• Develop and maintain AI-driven automation solutions
• Track the effectiveness of AI automation solutions, continuously refining them based on user feedback and evolving requirements
• Familiarity 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 practices
• Experience in CI/CD with building tools such as Maven and Jenkins
• Experience with Kubernetes for container orchestration and deployment at scale
• Work with project managers to ensure that all project deliverables are on time and high quality
• Work collaboratively with other teams: QA, DevOps, UX etc
• Exceptionally good at documentation and explaining core technical processes
• Prior Apple experience is a strong plus

Roles & Responsibilities

5+ years hands on industry experience is a must

• Creating new tests to verify APIs built by third-party partners to ensure they correctly implemented Apple Pay features
• Defining test coverage for new features, creating and maintaining automated server test cases, reporting test results
• Contributing to the design and development of testing tools
• Prioritizing, scheduling, and communicating the status of your work
• Diving deep to resolve highly technical issues in complex systems
• Triaging automation failures and driving them to quick resolution
• Expertise communicating clearly and concisely with ability to tailor communication to a given audience
• Strong organizational skills enabling both independent and team work

Minimum Qualifications

• Strong proficiency coding in Java/Kotlin is a must
• Experience developing API tests using automated testing frameworks specially REST and troubleshooting test failures
• Strong analytical and problem-solving skills with a focus on critical thinking and a testability mindset
• Ability to apply creativity and analytical thinking to all kinds of problems, such as test case design and building robust automation
• BS or MS in Computer science or equivalent experience

Preferred Qualifications

• Good understanding of CI/CD principles and the optimal way to design testing strategy for cloud applications
• Containerization and virtualization using Docker, Kubernetes, or related technologies
• Familiarity with AI/ML solutions