Gen AI Engineer

VOLTO Consulting; Austin (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Apple in Austin, TX is seeking a Gen AI Engineer to join the Content Solutions Team on a Generative AI project. This full-time role requires independent visa holders.

Ideal candidates will have 8–10 years of hands-on experience, strong Java and Python, and expertise in AI-driven automation, CI/CD, and Kubernetes. Familiarity with LLMs, prompt engineering, and Apple Pay testing is highly valued, with collaboration across QA, DevOps, and UX teams to ensure high-quality deliverables.

Qualifications

• 8-10 years of hands-on industry experience.
• Strong Java and Python foundation with API testing focus.
• Experience with CI/CD tools (Maven/Jenkins) and container orchestration (Kubernetes).
• Familiarity with AI/LLM frameworks, prompt engineering, and responsible AI practices.

Responsibilities

• Create and maintain tests for APIs built by partners to verify Apple Pay features.
• Define test coverage for new features and maintain automated server tests; report results.
• Contribute to the design and development of testing tools.
• Prioritize work, schedule tasks, and communicate status clearly.
• Investigate and resolve highly technical issues in complex systems.

Skills

Java

Python

AI automation

REST testing

Documentation

Clear communication

Education

BS/MS in Computer Science or equivalent

Tools

Maven

Jenkins

Docker

Kubernetes

Job description

Gen AI Engineer
Austin, TX
Fulltime - Need only independent VISA Holders

Job Description

8 - 10 years of experience

Must Have Technical/Functional Skills Apple 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 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 our core technical processes
• Prior Apple experience is a Strong plus

Roles & Responsibilities

5+ years hand on industry experience is a must

Responsibilities

• 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 mindse t
• 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