Applied AI Engineer
Tasks
- Build AI agent workflows
- Build RESTful APIs and webhooks
- Collaborate with business stakeholders to translate workflows
- Containerize and deploy services with Docker
- Create autonomous agent systems with tool use
- Design and implement RAG systems
- Develop multimodal LLM powered tools
- Ensure observability with logging and monitoring
- Implement prompt engineering
- Integrate LLM APIs into applications
- Set up CI/CD pipelines
- Use version control with git
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 | Authentication | CI/CD | Cloud Build | Cloud Run | Cloud platform | Docker | Error Tracking | Firebase | Firestore | Git | GitHub Actions | Google Cloud | Google Cloud Build | Google Cloud Platform | IAM | JavaScript | LLM APIs | Language Models | Large Language Models | Logging | Model Context Protocol | Monitoring | Next.js | Observability | Prompt engineering | Pub/Sub | Python | RAG | REST APIs | TypeScript | Webhooks
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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