A Staff ML Engineer responsible for designing and architecting advanced multi-agent AI systems for mental health care platforms, focusing on orchestration, memory, and fine-tuning of large language models to improve patient care pathways.
Key Responsibilities
Architect the next generation of agentic infrastructure for the mental health platform
Design orchestration layers, memory systems, and RAG frameworks to enable multiple LLMs to work in concert
Collaborate with the AI Research team on model training and fine-tuning for clinical environments
Requirements
Experience in architecting and designing agentic infrastructure, orchestration layers, memory systems, and RAG frameworks that allow multiple LLMs to work in concert.
Ability to move beyond implementation to design complex AI system components for mental health platforms.
Experience working closely with AI Research teams on model training, including evolving applied training capabilities and specialized fine-tuning for clinical environments.
Proficiency in designing and implementing multi-agent systems for managing complete patient care pathways.
Strong understanding of large language models (LLMs) and their orchestration within complex AI systems.
Experience in designing systems that support clinical environment requirements, including specialized fine-tuning and model training.
Educational background in a relevant field such as Computer Science, Artificial Intelligence, or related disciplines (implied but not explicitly specified).
Benefits & Perks
Compensation/salary range (not specified in the posting)
Work schedule (remote work from Europe UK)
Work environment perks (remote work)
Opportunity to work on cutting-edge AI healthcare platform
Involvement in innovative mental health technology
Potential for professional growth in AI and healthcare fields