AI Automation - Technical Lead
Tasks
- Architect and build AI project pipelines
- Automate Excel files using OpenPyXL
- Automate Outlook email workflows
- Build embeddings pipelines
- Build high-performance ETL pipelines
- Define enterprise AI vision
- Deliver production grade AI deployments
- Execute multi agent automation using OpenAI API
- Fine-tune AI models
- Generate Excel reports using XlsxWriter
- Implement LLM mail scanning comprehension and categorization
- Implement business process automation standards
- Implement event-driven architecture
- Implement prompt engineering
- Implement state machines error handling and transaction logging
- Ingest parse and process engineering data
- Integrate AI services with Microsoft Office Excel and Outlook
- Integrate with Outlook using Win32com
- Leverage RAG for document retrieval and generation
- Migrate legacy Excel automation to cloud workflows
- Parse and process office data using Pandas
- Perform data scrubbing validation and deduplication
- Reverse engineer legacy VBA macros
- Use Microsoft Graph API
- Use multi agent orchestration
- Write and review scalable Python code
Perks/Benefits
Skills/Tech-stack
AI Studio | AWS Bedrock | Agent systems | Assistants API | Azure AI | Azure AI Studio | ETL | Embeddings | Error Handling | Event Driven | Event-driven architecture | Fine Tuning | Function Calling | Graph API | Language Models | Large Language Models | Microsoft Graph | Microsoft Graph API | Microsoft Office | Multi-Agent | Multi-Agent Systems | NumPy | OpenAI API | Openpyxl | Pandas | Prompt engineering | Python | RAG | SciPy | State machines | Transaction Logging | Win32Com | Xlsxwriter
Education
Roles
AI | AI & Automation Engineer | AI Automation | Automation Engineer | Engineer | Lead | Technical Lead
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