Ai Engineering Lead At Aios Medical — Remote, 80K-120K/Year Inc Equity

OverviewAI Engineering Lead at Aios Medical — Remote, $80k-$120k/year inc equityJoin to apply for the AI Engineering Lead role at Fella & Delilah Health.This is a full-time, fully remote role.You will work with the AI engineering team to build AI systems that deliver world-class healthcare at software scale.About Aios MedicalOur 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.We are building an AI-powered clinical operating system: ClinicOS, to make it effortless for consumer brands to offer direct-to-patient healthcare globally.We work with external Brand Partners and our internal consumer healthcare brands.Since our US launch in June ****, Fella Health and other brands have grown significantly.Our infrastructure aims to serve 100 million patients worldwide by **** and to scale biotech products at the patient level thereafter.We are backed by notable investors and are in Day 1 with work ahead of us.We are a young startup and the work is fast-paced and high-impact.Key ResponsibilitiesBuild and lead AI systems across the company.Ship production AI while keeping systems simple, reliable, and useful.Collaborate across clinical, growth, and operations to achieve 10x improvements.Core AI infrastructure: develop a model-agnostic platform to switch between OpenAI, Anthropic, and open-source models; implement robust A/B testing, intelligent routing, monitoring, and reliability fallbacks.AI-powered clinical care: drive AI adoption in ClinicOS, automate manual processes, create AI assistants for clinical teams, and measure impact on patient outcomes and operational efficiency.AI-powered growth: enhance the conversion funnel with AI-driven outreach and sales automation; explore tools like AI video generation, voice synthesis, and behavioral prediction; aim for human-level conversion with minimal manual touchpoints.Data & experimentation: advocate data-first decision making; study datasets, build MVPs quickly, run controlled tests with clear KPIs, scale winners, kill losers, and let data drive decisions over intuition.Qualifications6+ years of relevant software engineering experience with a focus on AI and machine learningStrong experience building production applications powered by LLMs; expertise in prompt and context engineering, RAG, model fine-tuning, and evaluation frameworksProficient in Typescript and/or PythonExperience designing and building modern, customer-facing APIsExperience building user-friendly interfaces using React or similar frameworksExperience leading engineering team membersNice to HaveExperience with AI/ML infrastructure including vector databases, embeddings, and orchestration frameworksExperience building evaluation and monitoring systems for LLMs in productionExperience with large-scale data pipelines and distributed systemsCloud platform experience (AWS) at enterprise scaleCS degree or equivalent experienceOpen source contributionsCompensation & BenefitsCompensation: $80k-$120k/year cash + equityVacation: generous time-offRemote: distributed across the worldHealthcare: comprehensive medical insuranceProfessional development: budget for books, courses, coaching ($600/yr)Personal wellness: budget for gym and health apps ($600/yr)Equipment: WFH gear provided as needed (e.g., Macbook)How to ApplyApply on Ashby or the platform you are inEmail ****** with: Resume, LinkedIn, GitHubRecruiter note: this job description is in progress; core requirements will not change.Applications review begins Sep 1; interviews start Sep 8.For questions, email ******.J-*****-Ljbffr