AI Engineer
Tasks
- Build and scale RAG systems
- Collaborate across the development lifecycle
- Deploy and optimize AI solutions
- Design and build LLM applications
- Design scalable AI architectures
- Develop backend services for AI platforms
- Implement Docker containerization
- Integrate AI capabilities with applications
- Monitor and troubleshoot AI systems
- Orchestrate containers with Kubernetes
- Perform code reviews and documentation
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | CloudFormation | Docker | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Python | Retrieval-Augmented Generation | Terraform | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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