Senior AI Engineer
Tasks
- Architect Generative AI solutions
- Architect agentic AI agents
- Build MLOps infrastructure
- Build retrieval-augmented generation pipelines
- Deploy generative AI solutions
- Design secure AI system architectures
- Implement CI/CD pipelines
- Implement data governance and security controls
- Implement data ingestion and document processing
- Integrate vector databases and NoSQL databases
- Optimize model serving and data processing latency
- Provision cloud infrastructure with Terraform
- Set up observability for logging and alerting
Perks/Benefits
- 401k
- Employee assistance program
- Employer Savings Plan Matching
- Fitness Reimbursement Program
- Flexible work schedule
- Health insurance
- Paid time off
- Parental and caregiver leave
- Parental leave
- Retirement plans
- Volunteering time off
Skills/Tech-stack
AI Search | Agentic AI | Agile Framework | Airflow | Alerting | Amazon Web Services | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Causal Inference | Cloud platform | Docker | Generative AI | Google Cloud | Google Cloud Platform | Logging | MLOps | Matrix Factorization | Microsoft Azure | NoSQL | PII filtering | Polars | PostgreSQL | Python | Redis | Retrieval-Augmented Generation | SQL | Scaled Agile | Scaled Agile Framework | Terraform | Vector Search | Web Services | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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