Applied AI Engineer
Tasks
- Build LLM-powered applications
- Build Next.js web dashboards
- Collaborate as a one person product team
- Containerize services with Docker
- Create RESTful APIs
- Deploy services to cloud
- Design AI automation solution
- Develop multi-step agent workflows
- Ensure observability with logging monitoring error tracking
- Implement retrieval-augmented generation
- Implement secure authentication patterns
- Integrate LLM APIs
- Research business workflow friction
- Set up CI/CD pipelines
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 | Error Tracking | 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 | Model Context Protocol | Monitoring | Next.js | Observability | OpenAI API | Prompt engineering | PubSub | Python | RAG | REST | TypeScript | Webhooks
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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