Senior AI Engineer
Tasks
- Confirm whether AI is the right intervention
- Define and track success using business and flow metrics
- Design develop and ship AI powered solutions
- Diagnose business problems
- Evaluate tools document patterns and create reusable foundations
- Improve organizational flow and reduce bottlenecks
- Integrate AI capabilities using APIs
- Leverage GitLab AI offerings and feed usage insights
- Map workflows and identify constraints
- Own AI initiatives end to end
Perks/Benefits
- Employee stock purchase plan
- Equity compensation
- Flexible paid time off
- Growth and development fund
- Home office support
- Parental leave
- Remote work
Skills/Tech-stack
Access Controls | Agent Orchestration | Data Leakage Prevention | Data leakage | Enterprise Search | Evaluation Frameworks | GraphQL | Human-in-the-loop | Input validation | JavaScript | Language Models | Large Language Models | Leakage prevention | Make | Marketo | Multi-Agent | Multi-agent orchestration | N8n | Output filtering | Prompt engineering | Prompt injection | Prompt injection defenses | Python | RAG | REST APIs | Retrieval-Augmented Generation | Salesforce | Theory of Constraints | TypeScript | Value Stream | Value stream mapping | Workato | Zendesk
Education
N/A
Roles
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