AI Engineer
Tasks
- Create reusable AI foundations
- Define success metrics and feedback loops
- Deliver internal AI solutions end to end
- Deploy and iterate AI solutions
- Design develop and ship AI prototypes
- Diagnose business problems
- Evaluate tools and document patterns
- Identify constraints
- Improve organizational flow
- Integrate AI using APIs
- Map workflows and handoffs
- Measure success with flow metrics and ROI
- Orchestrate LLM workflows
- Reduce bottlenecks and lead times
- Validate AI suitability
Perks/Benefits
- Asynchronous work environment
- Continuous learning culture
- Knowledge sharing
- Mentorship opportunities
- Remote work
Skills/Tech-stack
APIs | Access Controls | Agent Orchestration | Agentic architecture | CI/CD | Data Leakage Prevention | Data leakage | Evaluation Frameworks | Fine Tuning | GitLab | GraphQL | Guardrails | Human-in-the-loop | Injection Defense | Input validation | JavaScript | Language Models | Large Language Models | Leakage prevention | Multi-Agent | Multi-agent orchestration | Orchestration tools | Output filtering | Prompt engineering | Prompt injection | Prompt injection defense | Python | REST APIs | Retrieval-Augmented Generation | The Loop | Theory of Constraints | TypeScript | Value Stream | Value stream mapping | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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