SNF AI develops an AI-driven platform for the Healthcare sector, designed to optimize resource allocation and increase revenue for our global clients.

We are now entering a major growth phase and are looking for individuals who want to take end-to-end ownership of the product and play a key role in our journey.

What we’re looking for:

We are looking for a highly skilled Senior Full Stack Engineer to join our core team. In this role, you will take a key part in developing our AI-driven platform, working across the entire stack, from high-performance backend services to complex frontend architectures. You will be responsible for building scalable, production-ready features, driving technical innovation, and ensuring the seamless integration of AI capabilities into our product.

Responsibilities:

• Take full end-to-end ownership of complex features and systems, from architectural design to production.
• Drive technical innovation and significantly influence the product's technical roadmap.
• Develop hands-on AI software ensuring high-quality and scalable code.
• Design and optimize microservices architecture and robust CI/CD pipelines.
• Collaborate directly with AI and Product teams to transform complex requirements into impactful technical solutions.
• Ensure system performance and scalability across SQL (MySQL) and NoSQL (MongoDB) environments.
• Lead the execution of cloud-based solutions (AWS/GCP) while maintaining technical excellence.

Requirements:

• 8+ years of professional experience in Full Stack Development.
• High-level proficiency in JavaScript, specifically with Angular and Node.js.
• 5+ years of experience with SQL (MySQL) and hands-on experience with MongoDB.
• Deep understanding of Microservices architecture and CI/CD pipelines.
• Proven experience with Cloud platforms (AWS/GCP).

Bonus Points:

• Experience with GCP.
• Experience with Python.
• Experience developing and deploying AI-driven software.

Why Join:

• Meaningful equity in a company with fast-growing revenue.
• Competitive compensation.
• Hands on work with AI implementation.
• Big impact on the product, opportunity to take full ownership.
• Fast professional growth.
• An AI-first culture that encourages experimentation and ownership.
• Hybrid mode: 2 days from the office