Java Gen AI Engineer
Tasks
- Apply AI performance engineering
- Apply security best practices
- Build agentic workflows
- Build data pipelines
- Collaborate with stakeholders and distributed teams
- Design AI-driven solutions
- Develop AI enabled web UI
- Implement production ready AI applications
- Integrate AI services with cloud platforms
- Integrate LLMs into enterprise systems
- Share knowledge and enable internal capabilities
- Stay current with generative AI advancements
Perks/Benefits
- Collaborate with distributed teams
- Flexible autonomy across time zones
- Flexible contract engagement
- High-impact environment
- Learning and development in emerging AI technologies
- Opportunity to work on generative AI initiatives
Skills/Tech-stack
AI Performance Engineering | AI performance | AWS | Agentic Workflows | Azure | Best practices | Cloud Integration | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM integration | 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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