Member of Technical Staff - Applied AI Lead, Health
Tasks
- Architect LLM orchestration for agentic multi step systems
- Build prompt and context engineering strategies
- Co author product roadmap and define architecture for new products
- Collaborate with cross functional teams to deliver reliable health AI
- Design and oversee LLM evaluation systems
- Execute internal benchmarking and regression testing
- Improve tooling for evaluation pipelines
- Integrate tool use and retrieval systems
- Lead and mentor applied AI engineers
- Manage data pipelines for dataset sourcing curation and synthesis
- Plan and prioritize evaluation and delivery roadmap
- Run experiments on prompting and orchestration techniques
- Set technical direction through code and design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Benchmarking | Context engineering | Data Pipelines | Data Processing | Dataset curation | Healthcare technology | LLM evaluations | LLM orchestration | Language Models | Large Language Models | Machine Learning | Multi Step Systems | Prompt engineering | Python | Regression testing | Retrieval | Step systems | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Lead | Applied AI Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer
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