Java Gen AI Engineer
Tasks
- Apply security best practices for AI
- Build and maintain data pipelines
- Build production ready AI applications
- Collaborate with distributed engineering teams
- Deploy AI tools and applied AI systems
- Design and implement AI-driven solutions
- Develop AI enabled web and UI features
- Develop agentic workflows
- Identify gaps in AI expertise and share knowledge
- Integrate AI services with cloud platforms
- Integrate llm solutions with enterprise systems
- Perform AI performance engineering
- Translate generative AI concepts into scalable implementations
Perks/Benefits
- Flexible contract engagement
- High-impact environment
- Knowledge sharing and technical enablement
- Work flexibility across time zones
Skills/Tech-stack
AI Performance Engineering | AI integration | AI performance | AWS | Agentic Workflows | Azure | Best practices | Cloud Computing | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM | Language Models | Large Language Models | Open WebUI | Performance Engineering | Security best practices | UI Development | Web UI | Web UI Development
Education
N/A
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