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

Aios Medical; España; A distancia; EUR 67.000 - 102.000; Jornada completa

Descripción de la vacante

A healthcare startup is seeking an AI Engineering Lead to architect their AI strategy for ClinicOS. This fully remote position will lead AI systems across the company, requiring strong expertise in software engineering, AI, and team leadership. Ideal candidates will have significant experience in developing LLM-powered applications, and possess strong programming skills in Typescript and Python. The role promises impactful work in making healthcare more accessible through AI.

Servicios

Compensation: $80k-$120k/year

Generous vacation time

Comprehensive medical insurance

Professional development budget

Remote work flexibility

Formación

• 6+ years of highly relevant experience in software engineering.
• Strong experience building production applications powered by LLMs.
• Experience leading engineering team members.

Responsabilidades

• Build and lead AI systems across the company.
• Create a model-agnostic AI platform for seamless switching.
• Drive AI adoption across the clinical operating system.

Conocimientos

Software engineering

AI and machine learning

Typescript and/or Python

Modern API design

User-friendly interfaces

Educación

CS degree or equivalent experience

Herramientas

React

AWS

Descripción del empleo

Overview

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.

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.

Qualifications

• 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

Nice to Have

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

Culture & 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: budget for books, courses, coaching ($600/yr)
• Personal wellness: budget for gym, health apps ($600/yr)
• Equipment: WFH gear provided as needed, e.g., Macbook (>$1000)
• Opportunity to shape our culture as we are early

How to apply

• Apply on Ashby or the platform you are in.
• Email [e-mail] with:
  • Resume
  • LinkedIn
  • Github

Recruiter note: this job description is still in progress, but we want to have it live and visible to candidates as soon as possible. until August 29th, we may make some edits to the job description, but none of the core requirements will change. we expect to start reviewing applications by september 1st and begin interviews by september 8th. any questions about the process, please email me at: [e-mail]

Function

• Ingeniería y Tecnología de la información

Sectors

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