Senior AI Engineer
Tasks
- Build AI applications
- Deploy AI solutions to cloud
- Design AI solutions
- Develop LLM-based solutions
- Ensure AI documentation and risk management
- Evaluate model performance
- Implement rag pipelines
- Integrate AI models with APIs
- Integrate AI models with vector databases
- Mentor team members
- Monitor AI solutions
- Move PoC to production
- Perform AI system design
- Promote responsible AI practices
- Prototype AI models
- Scale AI solutions
Perks/Benefits
Skills/Tech-stack
AI Safety | AI ethics | API Integration | AWS | Agent systems | Agentic AI | Artificial Intelligence | Autogen | Azure | Cloud platform | CrewAI | Google Cloud | Google Cloud Platform | Langgraph | Language Models | Large Language Models | MCP | Machine Learning | Model Deployment | Model Monitoring | Multi-Agent | Multi-Agent Systems | Python | RAG | Retrieval-Augmented Generation | Risk Management | Vector Databases
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Data Science | Master of Science in Engineering
Roles
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