Related skills
sql python ci/cd langchain langgraphš Description
- Lead design, develop, deploy multi-turn LLM features with clinician-facing agents.
- Own Python backend services integrating LLM agents with the platform for production use.
- Define prompting, grounding, safety, and orchestration strategies across clinical AI workflows.
- Establish evaluation approaches for LLM outputs (accuracy, hallucinations, edge cases, quality).
- Shape engineering patterns for model workflows (testing, CI/CD, observability, versioning).
- Stay current with latest LLM research and assess applicability at Fullscript.
šÆ Requirements
- 6+ years in production ML; strong experience with LLM-powered agents/conversational workflows.
- Proven track record owning complex technical problems end to end.
- Experience designing AI systems that answer open-ended questions and support follow-ups.
- Strong experience with LLM frameworks/tools (LangChain, LangGraph, etc.).
- Familiarity with evaluation/monitoring frameworks for LLM outputs.
- Knowledge of MCP/agent orchestration patterns for multi-step AI systems.
- Strong proficiency in Python and SQL.
- Sound technical decisions on quality, safety, maintainability, and scalability in production AI.
- Strong communication and collaboration across technical and non-technical stakeholders.
š Benefits
- Salary, flexible PTO, and competitive pay.
- RRSP match and stock options.
- Customizable benefitsācoverage, paramedical services, and HSA.
- Fullscript discountsāsave on wellness products.
- Continuous learningātraining budget and company-wide initiatives.
- Hybrid and remote work flexibility.
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