Applied AI Engineer
Tasks
- Build CI/CD pipelines
- Build LLM-powered applications
- Containerize services with Docker
- Create REST APIs
- Deploy to cloud platforms
- Design AI automation solution
- Develop agentic workflows
- Evaluate and validate AI agent outputs
- Implement retrieval-augmented generation
- Integrate LLM APIs
- Monitor logging and error tracking
- Research business workflow friction
- Set up secure authentication patterns
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
AI Agents | Agentic Architectures | Authentication | CI/CD | Cloud Build | Cloud Run | Cloud platform | Docker | Error Tracking | Firebase | Firestore | GitHub Actions | Google Cloud | Google Cloud Build | Google Cloud Platform | IAM | JavaScript | LLM API | Logging | MCP | Model Context Protocol | Monitoring | Next.js | Prompt engineering | PubSub | Python | RAG | REST | TypeScript | Webhooks
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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