AI Engineer
United States - Remote
R
A USD 150K-224K (estimate) Senior-level Contract
Tasks
- Build AI infrastructure on cloud
- Build LLM pipelines
- Collaborate with cross-functional teams
- Create technical documentation
- Deploy and monitor models
- Design production AI systems
- Develop MLOps pipelines
- Develop agentic AI workflows
- Implement RAG architectures
- Integrate AI into enterprise platforms
- Manage model lifecycle
- Stay current on AI frameworks
- Use Docker and Kubernetes for deployment
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Autogen | Azure | Bicep | CI/CD | Docker | GCP | Hugging Face | Infrastructure as Code | Keras | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | OpenAI API | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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