Full Stack AI Engineer
Tasks
- Build and iterate MVP prototypes
- Design deploy AI powered applications
- Develop and maintain shared libraries and reusable components
- Experiment with AI frameworks and LLM technologies
- Integrate commercial AI services and open source tools
- Optimize workflows and improve product performance
- Translate business needs into technical implementations
Perks/Benefits
- Fully remote
- High autonomy
- Learning culture
- Location flexibility
- Opportunities for long term engagement
Skills/Tech-stack
AI Agents | APIs | Automation tools | Language Models | Large Language Models | Next.js | Python | RAG | React | Retrieval-Augmented Generation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer
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