Full Stack Engineer with AI Experience

Company Description

FrontrowMD is on a mission to solve consumer trust in health and wellness. Today, our Clinicians’ Choice badges, Clinician Reviews, and ClinicianAI shopping assistant have enabled 700+ of the best DTC brands to increase confidence with their shoppers, by delivering medical expert and research insights right to the point of purchase.

Founder & CEO Irfan Alam formerly led business strategy at Everlywell, a consumer health unicorn, before his MBA at Harvard Business School, and was named Forbes 30 Under 30. CPO Yaser Mahmoud led Product at Meta, Amazon, and other fast-growing SaaS startups, and holds an MBA from Harvard Business School and a BA from Yale.

Role

We're looking for a Full Stack Engineer with AI experience to join our small, innovative team. We already have a live AI-powered product that you'll help improve and evolve, and you'll also play a key role in spearheading development of new AI-forward projects on our roadmap — alongside some non-AI product work as well. In this role, you'll combine modern AI tooling with intuitive product design and secure architecture to deliver first-of-its-kind health experiences. If you thrive on ownership, move with startup speed, and are excited about applying AI in healthcare, we'd love to meet you.

Location: Fully Remote

Key Responsibilities

• Own end-to-end development: Build and maintain the entire consumer-facing product experience – from responsive front-end UI to scalable back-end APIs. You will own features from concept to launch, ensuring a polished, high-quality product.
• Build AI-powered features: Use Large Language Models (LLMs) (e.g. OpenAI GPT, Anthropic Claude) to power interactive features. You'll design and implement AI-powered functionalities that deliver trustworthy answers about supplement ingredients — partnering with the team to learn and apply best practices as you go.
• Ensure privacy & compliance: Architect systems with privacy by design. Handle sensitive health data (PHI) in accordance with HIPAA and security best practices – encrypting data, managing access controls, and maintaining user trust while using AI.
• Design and evolve backend systems: Set up and maintain backend infrastructure and data pipelines to support AI use cases like retrieval-augmented generation (RAG) and personalization. Build flexible, scalable data storage systems that evolve with product needs and enable iteration over time.

Qualifications

• 2–6 years of experience as a full-stack engineer building web applications. You've built and shipped consumer-facing products end-to-end, preferably in startup or rapid-growth environments. Experience building backend APIs or applications in Ruby on Rails and React is a plus.
• Hands-on experience building with LLMs: You've shipped at least one feature powered by an LLM API (OpenAI, Anthropic, etc.) — you don't need to be an AI expert, but you should be comfortable with prompt design, handling model output, and the practical challenges of AI in a user-facing context.
• Healthcare data awareness: Familiarity with HIPAA regulations and handling Protected Health Information (PHI) in web apps, or the ability to quickly get up to speed on compliant architecture. You appreciate the importance of high security and privacy standards.
• Frontend & UX skill: Proficiency with modern front-end frameworks (e.g. React), HTML, CSS, and vanilla JavaScript. You should be able to create intuitive, responsive interfaces and have a keen eye for user experience details.
• Backend & API skill: Experience building robust backends and APIs (Ruby, Node.js, or Python) and working with databases/cloud services. Familiarity with AWS or willingness to learn cloud infrastructure is important. You can design data models and endpoints that perform well at scale.

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• Experience with our tech stack: Experience with Ruby on Rails, React, HTML/CSS, JavaScript, PostgreSQL, GitHub, and AWS. Experience with Python is a plus.

Why Join Us

• Impact & Mission: Work on a product that could improve how millions of people make health decisions. Your work will help consumers trust what they put in their bodies, combining AI and medical expertise for real societal benefit.
• Ownership & Growth: As an early engineer on a nascent team, you'll have end-to-end ownership of critical product features. Your contributions will directly shape our technology and user experience. (You won't be a cog in a machine here — you'll be leading the charge.)
• Cutting-Edge Tech: You'll be building with the latest in AI (LLMs) and modern tools, tackling novel problems in AI UX and data privacy. It's a chance to push the boundaries of what AI can do in a safe, responsible way.
• Fast-Paced, Collaborative Culture: Join a small, passionate team that values innovation, quick learning, and agility. We iterate fast, encourage new ideas, and support each other in building something amazing.
• Flexibility: Work fully remotely with flexibility in how you get things done. We care about results and impact, not hours clocked. Expect a high-trust environment with lots of autonomy (and responsibility).
• Compensation & Ownership: Receive a competitive salary, benefits, and meaningful early-employee equity — be rewarded for the impact you make.

If you're excited about building the future of AI-powered health and wellness and making a tangible difference in people's well-being, we want to hear from you!