Hi,
Job Title: Gen AI Engineer
Location: Austin, TX (Onsite – 5 Days/Week)
Job Summary
The Apple Content Solutions Team is seeking an experienced Generative AI Engineer to design, develop, and maintain AI-powered solutions leveraging Large Language Models (LLMs). The ideal candidate will have a strong foundation in Java and Python, hands-on experience with modern AI frameworks, and the ability to integrate LLMs into enterprise applications. Candidates with prior Apple experience are highly preferred.
Key Responsibilities
- Design, develop, and maintain AI-driven automation solutions using Generative AI technologies.
- Integrate and optimize Large Language Models (LLMs) for enterprise applications.
- Develop scalable backend solutions using Java and Python.
- Monitor, evaluate, and continuously improve AI automation solutions based on user feedback and evolving business requirements.
- Implement prompt engineering techniques and LLM orchestration strategies to improve AI performance.
- Work with AI agentic frameworks, Model Context Protocol (MCP), and LLM libraries such as Anthropic SDK.
- Build and maintain CI/CD pipelines using Maven and Jenkins.
- Deploy and manage applications using Kubernetes in scalable production environments.
- Collaborate closely with Project Managers, QA, DevOps, UX, and cross-functional teams to deliver high-quality solutions.
- Create clear technical documentation and effectively communicate complex technical concepts.
Required Skills
- Strong foundation in Java and Python with extensive hands-on development experience.
- Deep understanding of Generative AI, Large Language Models (LLMs), and AI application development.
- Experience with AI agentic frameworks, MCP, and LLM libraries (e.g., Anthropic SDK).
- Strong knowledge of:
- Prompt Engineering
- LLM Orchestration
- Evaluation Frameworks
- Responsible AI Deployment Practices
- Experience with CI/CD tools such as Maven and Jenkins.
- Hands-on experience with Kubernetes for container orchestration and deployment.
- Excellent problem-solving, communication, and documentation skills.
- Ability to work effectively in a fast-paced, collaborative environment.
Preferred Qualifications
- Prior experience working at Apple is a strong advantage.
- Experience building enterprise-scale AI applications.
- Familiarity with cloud-native architectures and distributed systems.
Essential Skills
- Generative AI
- Large Language Models (LLMs)
- Java
- Python
- Kubernetes
- Maven
- Jenkins
- Prompt Engineering
- AI Agent Frameworks
- MCP (Model Context Protocol)
Preferred Skills
- Anthropic SDK
- Enterprise AI Solutions
Apple Ecosystem Experience
|
Arjun
BHATT |
E: arjun.b@noviainfotech.com M: (972) 961 2004 Linkedin: linkedin.com/in/arjun-bhatt-3a86001b5 |
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