AI Engineer
Tasks
- Build experimentation frameworks
- Build model training and deployment workflows
- Deliver data driven insights and reporting
- Design data-to-AI pipelines
- Develop prompt engineering and feature engineering
- Ensure production AI scalability robustness observability and optimization
- Establish AI governance and best practices
- Evaluate model performance and business impact
- Implement AI orchestration and monitoring
- Integrate LLM APIs into applications
Perks/Benefits
- 401k matching
- Education reimbursement
- Fitness Center
- Free snacks and drinks
- Headspace membership
- Health benefits
- LinkedIn Learning access
- Paid sick days
- Paid vacation
- Paid volunteer days
- Ticket discounts memberships
Skills/Tech-stack
API Integration | APIs | AWS Bedrock | AWS SageMaker | CI/CD | Containerization | Docker | Feature Engineering | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Observability | Orchestration | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Testing
Education
N/A
Roles
AI | AI Engineer | Engineer
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