Java Gen AI Engineer
Tasks
- Apply security best practices for AI applications
- Build agentic workflows
- Build data pipelines for enterprise scale AI projects
- Collaborate with stakeholders and distributed engineering teams
- Deploy real world AI solutions
- Design and implement AI-driven solutions
- Develop AI enabled web and UI implementations
- Develop LLM based AI engineering solutions
- Improve scalability with performance engineering frameworks
- Integrate AI capabilities with existing applications
- Integrate AI services with cloud environments
- Stay current with generative AI agentic and AI framework developments
- Translate generative AI concepts to production implementations
Perks/Benefits
- Cross time zone collaboration
- Flexible contract engagement
- High-impact AI initiatives
- Opportunities for knowledge sharing
- Remote or flexible location options
Skills/Tech-stack
AI integration | AWS | Agentic Workflows | Best practices | Cloud Computing | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Interface Development | Java | LLM Engineering | Language Models | Large Language Models | Microsoft Azure | Open WebUI | Security best practices | User Interface | User interface development | Web development
Education
N/A
Roles
AI Engineer | Engineer | Generative AI Engineer | Java | Java Software Engineer | Software Engineer
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