Applied AI Engineer
Tasks
- Build LLM powered product features
- Build backend services for AI driven applications
- Deploy AI agents for operational and product problems
- Develop internal LLM tooling and automation workflows
- Improve engineering velocity with AI native workflows
- Integrate multiple model providers
- Rapidly prototype and ship AI capabilities
Perks/Benefits
- Experimentation time
- International team culture
- Learning-focused environment
- Remote work flexibility
Skills/Tech-stack
AI Agent | Backend Development | Cloud services | Docker | JavaScript | LLM | Language Model | Large Language Model | Model Orchestration | Multi-model | Multi-model orchestration | OpenAI API | Python | REST API | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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