Full Stack AI Engineer
Tasks
- Build MVPs
- Build agent-based systems
- Build and iterate prototypes
- Collaborate with stakeholders
- Create prompts and internal frameworks
- Design AI powered applications
- Develop full stack solutions
- Develop shared libraries and reusable components
- Experiment with AI frameworks
- Identify opportunities for innovation
- Implement large language model workflows
- Improve product performance
- Integrate commercial AI services
- Optimize workflows
- Support product launches
- Translate business needs into technical implementations
- Use open source tools
Perks/Benefits
- Access to cutting-edge technologies
- Career growth
- Fast moving learning culture
- Fully remote work
- High autonomy
- Location flexibility
Skills/Tech-stack
AI Agents | API Integration | Language Models | Large Language Models | Next.js | Open Source | Open-source tools | Python | RAG | React | Retrieval-Augmented Generation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
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