Applied AI Engineer
Tasks
- Build CI/CD pipelines
- Build LLM integrated applications
- Build Next js dashboards and internal tools
- Create RESTful APIs and webhooks
- Deploy services to Google Cloud
- Design AI automation solutions
- Develop agent-based workflows
- Evaluate AI output quality
- Implement authentication and secure patterns
- Monitor logs and errors
- Process data with Python
- Research business workflow friction
- Ship production process improvements
Perks/Benefits
- Employee stock option plan
- Flexible working options
- Health insurance
- Home-office allowance
- Parental leave
- Peer recognition program
- Professional development stipend
- Unlimited vacation
Skills/Tech-stack
Agentic Architectures | Anthropic Claude | Anthropic Claude API | Authentication | CI/CD | Claude API | Cloud Build | Cloud Run | Cloud platform | Docker | Firebase | Firestore | Gemini API | Git | GitHub | GitHub Actions | Google Cloud | Google Cloud Build | Google Cloud Platform | Google Gemini | Google Gemini API | IAM | JavaScript | LLM APIs | Logging | MCP | Monitoring | Multimodal AI | Next.js | Observability | OpenAI API | Prompt engineering | PubSub | Python | RAG | REST API | TypeScript | Webhooks
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
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