Java Gen AI Engineer
Tasks
- Apply security best practices for AI
- Build agentic workflows
- Build enterprise data pipelines for AI
- Collaborate with distributed engineering teams
- Deploy production-ready AI solutions
- Design AI-driven solutions
- Develop AI enabled web and UI components
- Implement LLM-based workflows
- Improve AI application performance and scalability
- Integrate AI services with cloud platforms
- Integrate AI with existing applications
- Share knowledge and enable internal AI capabilities
Perks/Benefits
- Autonomy and flexibility across time zones
- Exposure to enterprise scale AI projects
- Flexible contract engagement
- High impact work environment
- Opportunity to collaborate with distributed engineering teams
Skills/Tech-stack
AI Application Integration | AI application | AWS | Agentic Workflows | Application Integration | Best practices | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM integration | Language Models | Large Language Models | Microsoft Azure | Performance Engineering | Security best practices | UI Development | Web UI | Web UI Development
Education
N/A
Roles
AI Engineer | Engineer | Generative AI Engineer | Java | Java Software Engineer | Software Engineer
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