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Gen AI Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Tata Consultancy Services Limited
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Overview

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.

Responsibilities
  • 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, Dev Ops, UX etc
  • Exceptionally good at documentation and explaining our core technical processes
  • Prior Apple experience is a Strong plus
  • 5+ years hand on industry experience is a must
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
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