Overview

AI Engineering Lead at Aios Medical — Remote, $80k-$120k/year inc equity. You will architect our AI-first future and own the AI strategy across the ClinicOS platform, transforming how millions access healthcare through intelligent automation.

This is a full-time, fully remote role. You must thrive in intense, high-velocity environments.

Responsibilities

• Build and lead our AI systems across the entire company. Ship production AI while keeping it simple, reliable, and actually useful. Work across clinical, growth, and operations to make us 10x better.
• Core AI infrastructure: Build a model-agnostic AI platform that lets us switch between OpenAI, Anthropic, and open-source models. Set up robust A/B testing, create intelligent routing, and implement monitoring with proper fallbacks.
• AI-powered clinical care: Drive AI adoption across our clinical operating system. Automate manual processes, create AI assistants for our clinical team, and measure impact on patient outcomes and operational efficiency.
• AI-powered growth: Transform conversion funnel with AI-driven outreach and AI sales agents. Source tools like AI video generation, voice synthesis, and behavioral prediction models and adapt them to our infrastructure. Target human-level conversion rates while reducing manual touch-points.
• Data & experimentation: Be data-driven, study datasets to identify AI opportunities, build lightweight MVPs quickly, and run controlled tests with clear KPIs. Scale winners, kill losers, and let data drive decisions.

Qualifications

• 6+ years of highly relevant software engineering experience with a focus on AI and machine learning
• Strong experience building production applications powered by LLMs, including prompt and context engineering, RAG systems, and evaluation frameworks
• Proficiency in Typescript and/or Python
• Experience designing and building modern, customer-facing APIs
• Experience building user-friendly interfaces using React or similar frameworks
• Experience leading engineering teams

Nice to Have

• Experience with AI/ML infrastructure including vector databases, embedding models, and orchestration frameworks
• Experience building evaluation and monitoring systems for LLM applications in production
• Experience building large-scale data pipelines and distributed systems
• Experience with cloud platforms (AWS) at enterprise scale
• CS degree or equivalent experience
• Open source contributions

Compensation & Benefits

• Compensation: $80k-$120k/year (cash comp + equity)
• Vacation: generous time-off with a yearly minimum
• Remote: fully distributed and remote
• Healthcare: comprehensive medical insurance
• Professional development: $600/yr for books, courses, coaching
• Personal wellness: $600/yr for gym and health apps
• Equipment: WFH gear provided as needed, e.g., Macbook
• Opportunity to shape our culture as we are early-stage

How to apply

• Apply on Ashby or the platform you are in.
• Email lorena+hiring@joinfella.com with Resume, LinkedIn, and Github.