2 months ago
Responsibilities
- Lead the design and architecture of advanced agentic AI systems.
- Build and own production-grade agent infrastructure for healthcare workflows.
- Develop rigorous evaluation and safety frameworks for AI performance.
- Drive LLM and ML model development on healthcare datasets.
- Shape Medeloop’s agentic AI strategy in partnership with leadership.
- Stay at the cutting edge of agentic AI and establish Medeloop as a leader in healthcare AI.
Requirements
- 7+ years of experience as a Machine Learning Engineer with a focus on agentic AI systems.
- Experience with analytic engines and advanced analytics platforms.
- Strong theoretical foundation in ML/AI, particularly in NLP/LLMs and reinforcement learning.
- Deep expertise with agentic frameworks and tools like LangChain and Hugging Face.
- Experience designing automated evaluation and testing pipelines for autonomous agents.
- A builder mindset with a passion for rapid prototyping and exploring new ideas.
- Ability to thrive in a fast-paced, multidisciplinary environment.
Benefits
- Ownership from day one with a small, high-trust team.
- Opportunity to build AI-powered workflows with real-world impact.
- Strong foundation with Series A funding and access to a large data asset.