AI Engineer
Tasks
- Build RAG solutions
- Build generative AI solutions with LLMs
- Deploy AI solutions on cloud platforms
- Design AI solution architecture
- Develop AI applications end to end
- Document AI solutions
- Ensure compliance
- Ensure ethical AI practices
- Integrate AI models with APIs
- Integrate AI models with enterprise systems
- Integrate AI models with vector databases
- Manage AI risks
- Mentor team members
- Monitor AI solutions
- Scale AI solutions in production
- Test AI solutions
Perks/Benefits
Skills/Tech-stack
AI Safety | AI ethics | API Integration | AWS | Agentic AI | Autogen | Azure | Cloud Computing | Cloud platform | CrewAI | Generative AI | Google Cloud | Google Cloud Platform | Langgraph | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Multimodel Orchestration | Python | RAG | Retrieval-Augmented Generation | Systems Integration | Vector Databases
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Data Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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