AI Engineering Lead at Aios Medical — Remote, $80k-$120k/year inc equity

About Aios Medical Our overarching mission is to accelerate the mass-market adoption of consumer biotech products so every human can live at least 100 healthy years. Our immediate focus is excess bodyweight. We are increasing the accessibility of GLP-1 medications to accelerate their take-up to help solve obesity worldwide. To do that, we're building an AI-powered clinical operating system: ClinicOS. ClinicOS makes it effortless for consumer brands to easily offer direct-to-patient healthcare, globally. We work with external Brand Partners, as well as using this infrastructure to scale our own internal consumer healthcare brands. Since we launched Fella Health in the US in June 2021, Fella has positioned itself as no-nonsense weight loss for busy bigger guys. Today, we operate multiple brands across the US & UK — our two biggest are Fella Health (US & UK) & Bolt Pharmacy (UK). Our infrastructure will have served 100 million patients worldwide by 2035. We'll then use that direct-to-patient infrastructure to serve next-gen biotech products at-scale to increase the proportion of humans living at least 100 healthy years. In so doing, we'll become the world's first trillion dollar healthcare company. How far along are we? We've grown >2000x since Aug 2021, >200x since Aug 2022, >20x since Aug 2023. We're >$50M/yr revenue. We've been cashflow positive since June 2023. We're >10,000 customers with high NPS. We're a young startup and we're just getting started. This is still Day 1 and all our work is ahead of us. We're backed by top healthcare & consumer investors: • Y Combinator • Global Founders Capital — backed Facebook, Slack, LinkedIn, Revolut, Rocket Internet • AngelList Early Stage Fund (backed by Naval Ravikant) • BrandProject (venture-builder behind 2 unicorns) • The founders of Indeed, Curative (unicorn), Alan (unicorn), Kaia Health (>$300mil valuation), Vouch Insurance (>$500mil valuation), Not Boring (Packy McCormick) You can read more about working with us here: Working at Aios Medical https://fella.notion.site/working-at-aios-medical Being an AI Engineer at Aios Medical As AI Engineering Lead at Aios Medical, you'll architect our AI-first future. You'll own the entire AI strategy across our ClinicOS platform, transforming how millions access healthcare through intelligent automation. You'll work directly with me, Gzim (our Head of Engineering), our CEO (Richie Cartwright) and the rest of the AI engineering team to build AI systems that deliver world-class healthcare at software scale. This role combines deep technical expertise with strategic vision. You'll ship production AI while defining our long-term roadmap. You'll automate clinical workflows, build AI assistants that enhance our providers, and create systems that scale to 100 million patients. If you're excited by making healthcare radically more accessible through AI, can build LLM reliable LLM powered apps, and want your work to directly impact people - this role is for you. This is a full-time, fully remote role. You must thrive in intense, high-velocity environments. This will be the most impactful work of your career. Key Responsibilities You'll build and lead our AI systems across the entire company. We need someone who can ship production AI while keeping it simple, reliable, and actually useful. You'll work across clinical, growth, and operations - wherever AI can make us 10x better • Core AI infrastructure: Build a model-agnostic AI platform that lets us switch between OpenAI, Anthropic, and open-source models seamlessly. Set up robust A/B testing to optimize performance and costs. Create intelligent routing that matches tasks to the right models. Implement comprehensive monitoring and ensure high reliability with proper fallbacks. • AI-powered clinical care: Drive AI adoption across our clinical operating system. Find the manual processes that slow us down and automate them intelligently. Create AI assistants that make our clinical team more effective. Measure impact rigorously - every feature must demonstrably improve patient outcomes and operational efficiency. • AI-powered growth: Leverage AI to transform our conversion funnel from personalized outreach sequences to AI sales agents that close deals. Source new tools like AI video generation, voice synthesis, and behavioral prediction models and adapt them to our specific needs & infrastructure. Target human-level conversion rates while removing all manual touch-points. • Data & experimentation: Be genuinely obsessed with data - it should be your default way of thinking. Study our datasets to identify AI opportunities, build lightweight MVPs in days not months, and run controlled tests with clear KPIs. Create feedback loops that tell us within weeks if something works. Scale winners, kill losers, and always let data drive decisions over intuition. Need to Have • Have 6+ years of highly relevant experience in software engineering with a focus on AI and machine learn