Applied AI Engineer
Remote (United States)
R
USD 122K-176K (estimate) Mid-level Full Time
Tasks
- Apply responsible AI security and governance
- Build prompt engineering frameworks
- Create AI testing and monitoring frameworks
- Deploy scalable cloud native AI services
- Design production AI solutions
- Develop AI Agent workflows
- Develop REST APIs and microservices
- Evaluate fine tune and optimize models
- Implement vector database and retrieval solutions
- Integrate LLMs into enterprise systems
- Monitor performance and troubleshoot AI systems
Perks/Benefits
- 401k match
- Educational assistance program
- Employee assistance program
- Employee discounts
- Employee referral program
- Life and disability benefits
- Medical/Dental/Vision
- Paid Holidays
- Paid parental leave
- Paid time off
- Remote-first
Skills/Tech-stack
AI Agents | AWS | Automated testing | Azure | CI/CD | Cloud Native | Cloud platform | Databases | Databricks | Distributed Systems | Event Driven | Event-driven architecture | Git | GitHub | GitHub Copilot | GitLab | Google Cloud | Google Cloud Platform | Infrastructure as Code | JavaScript | Knowledge Retrieval | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Evaluation | MongoDB | Monitoring | Observability | Orchestration frameworks | Prompt engineering | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | SQL Server | Security controls | Vector Databases | “as-code”
Education
Roles
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