Engineer IV - Applied AI
USD 120K-204K (estimate) Mid-level Full Time
Tasks
- Build conversational AI solutions
- Create technical documentation and architecture diagrams
- Deploy monitor and optimize AI solutions in production
- Design and develop AI-powered applications and services
- Develop retrieval-augmented generation pipelines
- Implement prompt engineering and AI APIs
- Integrate AI solutions with enterprise applications and databases
- Monitor performance reliability utilization and costs
- Promote AI adoption through training and knowledge transfer
- Provide technical leadership and subject matter expertise
- Query transform and structure data for machine learning
- Research evaluate and prototype AI technologies
- Support proofs of concept and innovation initiatives
- Troubleshoot application, integration, and data issues
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Workflows | Cloud Platforms | Conversational AI | Cost Optimization | Data Governance | Data Quality | Data Security | Data Transformation | Language Models | Large Language Models | Machine Learning | Monitoring | Performance Tuning | Production Deployment | Prompt engineering | Python | Reliability Engineering | Retrieval-Augmented Generation | SQL | Semantic Search | Snowflake | Software Engineering | Technical documentation | Troubleshooting | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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