AI Engineer - Remote
Tasks
- Build LLM applications with analytics
- Create model workflows from prototype to production
- Design deploy Generative AI solutions
- Develop data and feature pipelines
- Establish AI governance ethics and quality standards
- Implement machine learning operations
- Improve scalability observability and operational readiness
- Integrate AI services with microservices and event architectures
- Mentor teams on LLM application development
- Optimize model performance with A B testing
- Perform prompt engineering and model evaluation
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Ops | AIOps | AWS | AWS CDK | AWS Lambda | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Automated testing | B testing | CI/CD | Data Pipelines | DevOps | Event Driven | Event-driven architecture | Experimentation | Generative AI | Git | Infrastructure as Code | JavaScript | LLM integration | Language Models | Large Language Models | Machine Learning | Microservices | Model Evaluation | Model versioning | Prompt engineering | Python | React | SQL | TypeScript | Vue | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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