Senior AI Engineer (*3-Year LTE)
Tasks
- Architect implement and maintain backend services and APIs
- Build and operate retrieval systems
- Design AI evaluation pipelines and benchmarks
- Design and build agentic AI systems
- Develop data pipelines and workflows
- Harden prototypes into production
- Implement observability and monitoring
- Mentor engineers on AI application patterns
- Translate domain problems into shippable systems
Perks/Benefits
- Comprehensive medical, dental and vision coverage
- Employee communities
- Generous paid time off
- Paid family leave
- Regional holidays
- Retirement Contribution
Skills/Tech-stack
AI Foundry | AI Ops | AI Search | API Development | AWS | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure Databricks | Azure OpenAI | Benchmarking | CI/CD | Cost Optimization | Data Pipelines | Docker | ETL | GCP | Git | Hugging Face | Information Retrieval | Infrastructure as Code | Knowledge graphs | Language Models | Large Language Models | Latency optimization | MLOps | Monitoring | Observability | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Vector Databases | Vector Search | “as-code”
Education
Roles
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