Senior AI Engineer
Tasks
- Build AI and ML models
- Deploy AI systems in production
- Design AI solutions
- Design APIs and microservices
- Develop agentic AI workflows
- Develop data pipelines for AI
- Ensure data privacy and security compliance
- Implement LLM-based systems
- Integrate AI into enterprise applications
- Monitor and optimize AI performance
- Perform prompt engineering and evaluation
- Run automated testing and code reviews
- Set up CI/CD pipelines
- Troubleshoot production issues
Perks/Benefits
- Comprehensive medical, dental and vision coverage
- Employee communities
- Generous paid time off
- Hybrid work environment
- No premiums
- Paid family leave
- Regional holidays
- Retirement Contribution
Skills/Tech-stack
AI Search | APIs | Agentic AI | Agile | Automated testing | Azure AI | Azure AI Search | Azure Foundry | Azure OpenAI | CI/CD | Data Privacy | Embeddings | Graph Database | LLM | Langchain | Llamaindex | Microservices | Microsoft Azure | Model Evaluation | Observability | Prompt engineering | Python | RAG | Security Compliance | Tokenization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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