Java Gen AI Engineer
Tasks
- Apply security best practices for AI applications
- Build AI enabled web and UI experiences
- Build production ready LLM workflows
- Collaborate with distributed engineering teams
- Deploy and monitor AI solutions in cloud environments
- Design and implement AI-driven solutions
- Develop agentic workflows and intelligent workflows
- Implement data pipelines for AI projects
- Improve scalability with AI performance engineering
- Integrate AI services with AWS Azure or GCP
- Integrate generative AI into existing applications
- Share knowledge and enable internal AI capabilities
Perks/Benefits
- Autonomy and ownership
- Collaboration with distributed teams
- Exposure to enterprise AI initiatives
- Flexible contract engagement
- Flexible work across time zones
- High-impact environment
Skills/Tech-stack
AI Performance Engineering | AI integration | AI performance | AWS | Agentic Workflows | Application Integration | Azure | Best practices | Cloud platform | Data Pipelines | Enterprise Application | Enterprise Application Integration | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM | Language Models | Large Language Models | Open WebUI | Performance Engineering | Security best practices
Education
N/A
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