Full Stack Engineer
Tasks
- Build scalable AI applications
- Design production software systems
- Develop reusable frameworks internal libraries and developer tools
- Develop web applications and APIs
- Engineer secure reliable maintainable software
- Evaluate new software and AI tools and frameworks
- Implement CI CD automated testing containerization and infrastructure as code
- Integrate large language models and retrieval systems
- Monitor troubleshoot and improve deployed AI systems
- Operationalize machine learning and generative AI
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AWS | Agent Frameworks | Authentication | Automated testing | Azure | CI/CD | Clean Coding | Cloud Native | Cloud Native Architecture | Cloud platform | Databases | 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 | Machine Learning | Object-Oriented | Object-oriented programming | Python | RAG | RESTful APIs | React | Retrieval-Augmented Generation | Software Architecture | Vector Databases | “as-code”
Education
N/A
Roles
Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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