Staff ML Engineer (AI)

TL;DR

Staff ML Engineer (AI): Architecting and scaling an end-to-end mental health platform built as a sophisticated multi-agent system, designing orchestration layers, memory systems, and RAG frameworks for multiple LLMs, and evolving applied training capabilities for clinical environments. Focus on ensuring reliability, clinical safety, sophisticated orchestration of multiple LLMs, and translating state-of-the-art AI research breakthroughs into scalable product features.

Location: Remote from Europe or the UK

Company

hirify.global is a high-tech startup company shifting healthcare from human-first to AI-first through its AI Care platform, reinventing pain care, women's health, movement health, and mental health.

What you will do

• Lead the design and scaling of complex multi-agent workflows, focusing on reliability, clinical safety, and sophisticated orchestration of multiple LLMs.
• Collaborate with AI Research to support and eventually spearhead post-training initiatives (SFT, RLHF) tailored for therapeutic domains.
• Define the long-term AI roadmap for the Mind team, balancing cutting-edge research with pragmatic, high-availability needs.
• Oversee the development of robust evaluation frameworks and data pipelines that enable rapid iteration on RAG performance and model behavior.
• Act as the primary technical liaison between AI Research and Engineering, ensuring state-of-the-art breakthroughs are successfully translated into scalable product features.

Requirements

• 8+ years of professional experience in Machine Learning, with a proven track record of shipping complex AI products at scale.
• Significant experience building and maintaining production-grade Agentic AI systems involving multi-model coordination, complex memory management, and tool-use.
• Practical experience with LLM fine-tuning and evaluation, understanding the data requirements for post-training.
• Expert-level Python and SQL; deep familiarity with modern AI orchestration frameworks and production software engineering best practices.
• Experience setting technical direction, navigating deep ambiguity, and providing high-impact mentorship to senior engineers.
• Exceptional ability to translate technical complexity into strategic business value for both leadership and cross-functional stakeholders.

Nice to have

• Experience in MedTech or regulated environments where AI safety and interpretability are paramount.
• Expertise in cloud-native AI infrastructure (GCP/Vertex AI or AWS/SageMaker).
• Active contributions to the LLM/Agentic AI open-source community.
• Previous AI research experience.

Culture & Benefits

• A stimulating, fast-paced environment with lots of room for creativity.
• A bright future at a promising high-tech startup company with career development and growth.
• Opportunity to work with a talented team and to add real value to an innovative solution changing healthcare.
• A flexible remote environment where you can control your hours with unlimited vacation.
• Access to our health and well-being program (digital therapist sessions).