M42 - Full Stack Engineer
Tasks
- Build AI applications
- Create container based deployments
- Design production software systems
- Develop reusable frameworks and internal libraries
- Develop web applications and APIs
- Implement secure reliable software
- Integrate LLMs and retrieval systems
- Monitor deployed systems
- Set up CI/CD and automated testing
- Troubleshoot and improve performance scalability and security
- Use infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AWS | Agent Frameworks | Authentication | Automated testing | Azure | CI/CD | Clean Code | Cloud Native | Cloud platform | Containerization | Design Patterns | Django | Docker | Embeddings | FastAPI | Flask | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Object-Oriented | Object-oriented programming | Python | REST API | React | Retrieval-Augmented Generation | SQL | Software Architecture | Vector Databases | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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