AI Engineer
Tasks
- Apply prompt engineering and Retrieval-Augmented Generation
- Build train and evaluate models with Azure Machine Learning
- Deploy and manage AI and LLM solutions in Azure
- Design build and deploy AI driven applications and services
- Develop backend services and APIs for AI applications
- Develop generative AI solutions with large language models
- Document models prompts and system architecture
- Evaluate LLM outputs for accuracy safety and performance
- Implement CI/CD pipelines
- Implement chatbots and copilots
- Implement document summarization and knowledge search
- Integrate AI into enterprise systems and Microsoft tools
- Manage model lifecycle versioning and prompt iteration
- Monitor model and LLM performance usage and cost
- Optimize AI and LLM solutions
- Perform data preprocessing feature engineering and model tuning
Perks/Benefits
- 401k plan
- Charitable match
- Dental insurance
- ESOP
- Medical insurance
- Paid parental leave
- Paid sabbatical
- Scholarships for children
- Tuition reimbursement
- Vision insurance
- Volunteer leave
Skills/Tech-stack
AI Search | APIs | App Service | Azure | Azure AI | Azure AI Search | Azure App | Azure App Service | Azure DevOps | Azure Functions | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | Azure environment | Backend Development | CI/CD | Containerization | Data Preprocessing | Docker | Embeddings | Enterprise Integration | Feature Engineering | Generative AI | GitHub Actions | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Tuning | OpenAI Service | Prompt engineering | Python | Retrieval-Augmented Generation | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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