Health AI Engineer
Tasks
- Build LLM validation pipelines
- Build RAG pipelines
- Create evaluation benchmarks
- Design LLM powered solutions
- Detect and mitigate LLM hallucinations
- Develop AWS cloud native solutions
- Embed with internal users
- Engineer prompts and context
- Identify pain points
- Implement security controls
- Integrate LLMs with error handling
- Mentor teams on AI best practices
- Monitor hallucinations and quality drift
- Optimize LLM API costs
- Translate user feedback into product direction
Perks/Benefits
Skills/Tech-stack
AWS Lambda | AWS Step Functions | Amazon ECS | Amazon S3 | Amazon SageMaker | Batching | CI/CD | Caching | Circuit Breakers | CloudFormation | DevOps | Docker | DynamoDB | Embeddings | Kubernetes | LLM integration | Language Models | Large Language Models | Microservices | MongoDB | Monitoring | MySQL | PostgreSQL | Prompt engineering | Prompt injection | Python | RAG | Redis | Retrieval-Augmented Generation | SQL | Security | Step Functions | Terraform | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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