Applied AI Engineer
Tasks
- Add human review loops for AI outputs
- Automate workflows with AI
- Build AI enabled internal tools
- Create AI evaluation frameworks and test sets
- Create reusable templates prompts playbooks and runbooks
- Define guardrails and engineering practices for AI
- Design AI agent workflows
- Develop backend services APIs integrations
- Ensure AI built software is secure observable maintainable
- Implement retrieval-augmented generation solutions
- Monitor AI system quality and failures
- Support teams in translating business problems into testable plans
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Agentic Workflows | Azure | Code review | Data integration | Documentation | Evaluation Frameworks | FastAPI | GCP | Human-in-the-loop | LLM APIs | Maintainable software | Monitoring | MySQL | Observability | Oracle | PostgreSQL | Prompt engineering | Pydantic | Python | REST APIs | Retrieval-Augmented Generation | SQLAlchemy | Security | Structured outputs | Testing | The Loop | Tool-Calling | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
Regions
Countries
States
Cities
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