Health AI Engineer
Tasks
- Build RAG pipelines
- Build validation pipelines and evaluation benchmarks for LLM outputs
- Design and deliver LLM powered solutions
- Detect and mitigate LLM hallucinations
- Develop AWS cloud native solutions
- Embed with internal users to understand workflows
- Engineer prompts context and system architecture for LLMs
- Implement LLM integrations with monitoring retries and error handling
- Implement security controls against prompt injection
- Optimize LLM API costs
Perks/Benefits
Skills/Tech-stack
AWS | CI/CD | CloudFormation | Context Management | Docker | DynamoDB | Embeddings | Hallucination detection | Infrastructure as Code | Kubernetes | LLM | Microservices | MongoDB | Monitoring | MySQL | PostgreSQL | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | RAG | Redis | SQL | Security | Terraform | Vector Databases | “as-code”
Education
Roles
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