Enterprise AI and Automation Engineer
Tasks
- Apply software design patterns for maintainable architecture
- Build AI powered applications for business domains
- Build workflow automations connecting AI services to business processes
- Collaborate on training programs and adoption tracking
- Evaluate new AI tools and techniques
- Identify AI opportunities for business problems
- Implement structured and hybrid AI approaches
- Implement testing logging error handling and monitoring
- Integrate AI capabilities into existing systems
- Maintain documentation and reusable solution patterns
- Own AI use case lifecycle from discovery to production
- Present demos progress updates and results
- Review AI generated code against production standards
- Translate business requirements into technical implementations
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | CI/CD | Containerization | Design Patterns | Error Handling | Event Driven | Event-driven architecture | Function Calling | GitLab CI | GitLab CI/CD | Langchain | Language Models | Large Language Models | Llamaindex | Logging | Monitoring | Next.js | Prompt engineering | Prompt templates | RAG | React | Retrieval-Augmented Generation | Semantic Kernel | Software Design | Software Design Patterns | Terraform | Testing | Vector Databases
Education
N/A
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