Principal AI Engineer
Tasks
- Build LLM orchestration layers for prompt execution and routing
- Build REST APIs and microservices
- Design and deploy large language model applications
- Design and optimize ETL data pipelines
- Develop backend services and enterprise integrations
- Develop document ingestion and processing pipelines
- Enable semantic retrieval and enterprise search
- Ensure security privacy governance and regulatory compliance
- Establish observability and monitoring for AI systems
- Implement auditability traceability explainability and transparency
- Implement data solutions for storage search and retrieval
- Implement retrieval-augmented generation frameworks
- Lead architecture and implementation of enterprise AI systems
- Support AI interfaces with frontend engineering
- Transform unstructured documents into structured data
Perks/Benefits
- Commuter benefits
- Flexible work arrangements
- Insurance coverage
- Learning and development training
- Maternity leave
- Paid annual leave
- Paternity leave
- Retirement savings plan
Skills/Tech-stack
AI Search | Amazon Bedrock | Azure AI | Azure AI Search | Azure Data | Azure Data Services | Azure OpenAI | Compliance | Data Ingestion | Data Services | Document processing | ETL | Indexing | Java | Language Models | Large Language Models | Microservices | MongoDB | Monitoring | Node.js | Observability | Orchestration | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | Security | Semantic Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Principal | Principal AI Engineer
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