Principal AI Engineer
Tasks
- Architect enterprise AI solutions
- Build document parsing and extraction pipelines
- Build prompt execution orchestration
- Build restful APIs
- Create distributed application components
- Deploy LLM applications
- Design ETL and data pipelines
- Design LLM applications
- Develop AI document ingestion pipelines
- Develop microservices
- Enable auditability traceability explainability
- Ensure AI governance security privacy compliance
- Handle model completion and response optimization
- Implement data ingestion enrichment indexing and retrieval
- Implement model routing
- Implement retrieval-augmented generation
- Integrate semantic retrieval and enterprise search
- Set up AI observability and monitoring
- Transform unstructured documents into structured data
Perks/Benefits
- Commuter benefits
- Dental insurance
- Flexible workplace arrangements
- Health insurance
- Learning opportunities
- Life insurance
- Maternity leave
- Paid annual leave
- Paid certifications support
- Paternity leave
- Professional training
- Retirement savings plan
- Vision insurance
Skills/Tech-stack
AI Search | AWS | Amazon Bedrock | Azure | Azure AI | Azure AI Search | Azure Data | Azure Data Services | Azure OpenAI | Compliance | Data Services | ETL | Governance | Java | LLM API | Language Models | Large Language Models | Machine Learning | Microservices | MongoDB | Monitoring | Node.js | Observability | Privacy | Prompt Routing | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Security | Semantic Search | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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