Aios Medical is seeking an AI Engineering Lead to architect their AI-first future and own the AI strategy across the ClinicOS platform.
The role involves transforming healthcare access through intelligent automation and working closely with the Head of Engineering, CEO, and the AI engineering team.
Responsibilities include building production AI systems, automating clinical workflows, and creating AI assistants to enhance provider effectiveness.
The position is fully remote and requires thriving in a high-velocity environment, with a focus on making healthcare more accessible through AI.
Key responsibilities include building core AI infrastructure, driving AI adoption in clinical care, leveraging AI for growth, and being data-driven in decision-making.
Requirements:
Candidates must have 6+ years of relevant experience in software engineering with a focus on AI and machine learning.
Strong experience in building production applications powered by LLMs, including prompt and context engineering, RAG systems, and model fine-tuning.
Proficiency in programming languages such as Typescript and/or Python is required.
Experience in designing and building modern, customer-facing APIs is necessary.
Candidates should be comfortable building user-friendly interfaces using React or similar frameworks.
Experience in leading engineering team members is essential.
Benefits:
The compensation for this position ranges from $80k to $120k per year, including cash and equity.
Employees receive generous time-off with a yearly minimum vacation policy.
The team operates fully remotely, allowing for a distributed work environment.
Comprehensive medical insurance is provided to all employees.
A professional development budget of $600 per year is available for books, courses, and coaching.
A personal wellness budget of $600 per year is allocated for gym memberships and health apps.
Necessary work-from-home equipment, including a Macbook valued at over $1000, will be provided.