AI Engineering
Tasks
- Analyze agent and solution performance metrics
- Collaborate with clients to understand needs propose solutions and drive adoption
- Design develop and implement generative AI agents for automation assistance and optimization
- Document architectures agent interaction flows and technical components
- Execute end to end project lifecycle from requirements to production and evolution
- Identify use cases with business technology and analytics teams and translate into AI solutions
- Implement AI development deployment monitoring and governance best practices
- Integrate AI agents with enterprise applications in distributed cloud and mainframe environments
- Use generative AI tools for development testing documentation and troubleshooting
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Cloud Computing | Distributed Systems | End to End | End-to-end delivery | Generative AI | Git | GitHub Copilot | Google Gemini | Java | JavaScript | LLM | LLM APIs | Language Models | Large Language Models | Mainframe | OpenAI GPT | Python | Software development
Education
Roles
AI Engineer | Data and AI Engineer | Engineer | Software Engineer
Regions
Countries
States
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