Enterprise AI and Automation Engineer
Tasks
- Apply software design patterns for maintainable architecture
- Build AI-powered applications
- Build workflow automations with AI services
- Collaborate on training and feature rollouts
- Evaluate new AI tools and techniques
- Identify new AI opportunities
- Implement structured and hybrid AI approaches
- Implement testing logging error handling and monitoring
- Integrate AI capabilities into business systems
- Maintain documentation and reusable solution patterns
- Own AI use case lifecycle from discovery to production deployment
- Present demos progress updates and results
- Review and validate AI-generated code
- Translate business requirements into technical implementations
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Artificial Intelligence | CI/CD | Containerization | Design Patterns | Docker | Error Handling | Event Driven | Event-driven architecture | Function Calling | GitLab CI | GitLab CI/CD | LLM function calling | Langchain | Language Models | Large Language Models | Llamaindex | Logging | Machine Learning | Monitoring | Next.js | Prompt engineering | React | Retrieval-Augmented Generation | Semantic Kernel | Software Design | Software Design Patterns | Software Engineering | Structured data | Terraform | Testing | Vector Databases | Workflow automation
Education
N/A
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