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

Overview

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

Join 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.

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. 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 2021, Fella Health and other brands have grown significantly. Our infrastructure aims to serve 100 million patients worldwide by 2035 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.

• Build 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.

• 6+ years of relevant software engineering experience with a focus on AI and machine learning
• Strong experience building production applications powered by LLMs; expertise in prompt and context engineering, RAG, model fine-tuning, and evaluation frameworks
• Proficient 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 team members

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

• Compensation: $80k-$120k/year cash + equity
• Vacation: generous time-off
• Remote: distributed across the world
• Healthcare: comprehensive medical insurance
• Professional 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)

• Apply on Ashby or the platform you are in
• Email lorena+ with: Resume, LinkedIn, GitHub

Recruiter note: this job description is in progress; core requirements will not change. Applications review begins Sep 1; interviews start Sep 8. For questions, email lorena+