Java Gen AI Engineer
Tasks
- Apply security best practices for AI applications
- Build agentic workflows
- Collaborate with stakeholders and distributed engineering teams
- Design and implement AI-driven solutions
- Develop AI data pipelines
- Develop LLM-based AI solutions
- Implement AI enabled web and UI
- Improve AI application scalability
- Integrate AI capabilities with existing applications
- Integrate AI services with cloud environments
- Perform AI performance engineering
- Stay current with generative AI and agentic systems
- Translate generative AI concepts into production implementations
Perks/Benefits
- Collaboration with distributed engineering teams
- Continuous learning in emerging AI technologies
- Exposure to enterprise scale AI projects
- Flexible autonomy across time zones
- Flexible contract engagement
- High impact work environment
- Opportunity for practical generative AI initiatives
Skills/Tech-stack
AI Engineering | AWS | Agentic Workflows | Azure | Best practices | Cloud Integration | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Java | Language Models | Large Language Models | Machine Learning | Open WebUI | Performance Engineering | Security best practices | UI Development | Web UI | Web UI Development
Education
N/A
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