AI Engineer
Tasks
- Build RAG systems
- Collaborate with cross-functional teams
- Create technical documentation
- Deploy AI solutions on cloud
- Design LLM based AI applications
- Design scalable AI architectures
- Develop backend services for AI platforms
- Ensure scalability and reliability in production
- Implement Docker containerization
- Integrate AI capabilities with applications
- Manage services with Kubernetes
- Optimize monitor and troubleshoot AI solutions
- Perform code reviews
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | CloudFormation | Docker | Go | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | JavaScript | Kubernetes | Language Models | Large Language Models | MLOps | Python | RAG | Retrieval-Augmented Generation | Terraform | TypeScript | 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 | Software Engineer
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