Applied AI Engineer - Remote
Tasks
- Build AI powered product features from idea to production
- Build evaluation loops tests and quality checks for AI outputs
- Debug AI feature failures across inputs outputs data backend logic and user flows
- Design and implement LLM based workflows structured outputs validation logic fallback behavior
- Improve AI workflows for quality reliability latency and user value
- Integrate AI capabilities into product and backend systems
- Support self hosted model workflows for quality speed cost and control
- Use AI development tools in daily workflow
- Work with commercial and open source LLMs without provider lock in
Perks/Benefits
- AI native development workflow
- Career growth
- Modern tooling workflow
- Ownership of backend systems
- Remote work
- Work on healthcare workflows
Skills/Tech-stack
Data Validation | Inference Optimization | LLM Evaluation | Language Models | Large Language Models | Latency optimization | Model Serving | Python | Quality Assurance | Software debugging | Structured data | Testing | Validation
Education
N/A
Roles
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