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Aios Medical (Fella Health) · 4 months ago

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

United States

Full-time

Remote

Senior Level, Lead/Staff

$80K/yr - $120K/yr

6+ years exp

Aios Medical is a forward-thinking company focused on making healthcare more accessible through AI technologies. As the AI Engineering Lead, you will be responsible for architecting the AI strategy for the ClinicOS platform, driving AI adoption in clinical workflows, and leading the development of AI systems that enhance patient care and operational efficiency.

Health CareMen'sPersonal HealthTelehealthWellness

No H1B

U.S. Citizen Only

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

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

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

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

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

Qualification

AI strategyLLM applicationsProduction applicationsSoftware engineeringTypescriptPythonAPI designReactData analysisCloud platformsOpen source contributionsTeam leadership

Required

Have 6+ years of highly relevant experience in software engineering with a focus on AI and machine learning

Have strong experience building production applications powered by LLMs. Prompt and context engineering, RAG systems, model fine-tuning and evaluation frameworks

Possess strong programming skills using Typescript and/or Python

Have strong experience designing and building modern, customer-facing API's

Are comfortable building user-friendly interfaces using React or similar frameworks

Have experience leading engineering team members