Role Description The Senior Full Stack Developer role at CUBE84 is a highly sought-after position that requires a skilled and experienced professional to lead the development of scalable web applications and modern digital platforms. As a key member of our cross-functional team, you will have the opportunity to contribute across the complete software development lifecycle, collaborating closely with product managers, designers, and engineering teams to deliver high-quality software solutions. We are looking for a highly skilled and experienced Senior Full Stack Developer who possesses strong expertise across backend systems, frontend development, cloud technologies, and API integrations. If you have a strong track record of delivering scalable, maintainable, and high-quality applications, and are passionate about continuous learning and modern engineering practices, we encourage you to apply for this exciting opportunity. Qualifications - 7–8 years of professional experience in full stack software development. - Strong experience working on scalable web applications and distributed systems. - Experience in Agile/Scrum development environments. - Strong hands-on experience with Node.js, PHP (Laravel), and Python. - Strong expertise in React.js, JavaScript (ES6+), HTML5, and CSS3. - Experience with MongoDB, MySQL, and other databases. - Good understanding of AWS services, CI/CD pipelines, Nginx, Docker, and microservices concepts. - Experience integrating REST APIs, payment gateways, third-party services, and AI/LLM integrations. - Hands-on experience with Git/GitHub, GitHub Copilot, Cursor IDE, and modern AI-assisted development workflows. Requirements - Experience working with scalable SaaS or enterprise platforms. - Familiarity with event-driven architectures and message queues. - Knowledge of caching mechanisms and performance optimization techniques. - Understanding of security best practices and authentication mechanisms. - Exposure to cloud-native application development. Soft Skills - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Self-driven with strong ownership mindset. - Ability to work independently and manage priorities effectively. - Passion for continuous learning and modern engineering practices. Responsibilities - Design, develop, and maintain scalable full stack applications and services. - Build robust backend systems, RESTful APIs, and microservices architectures. - Develop responsive and user-friendly frontend applications using modern JavaScript frameworks. - Collaborate with product managers, designers, and engineering teams to deliver high-quality software solutions. - Optimize applications for scalability, security, reliability, and performance. - Participate in architecture discussions and contribute to technical decision-making. - Write clean, maintainable, and testable code following engineering best practices. - Implement CI/CD pipelines and support DevOps practices for seamless deployments. - Integrate third-party services including payment gateways, external APIs, and AI/LLM services. - Troubleshoot production issues and perform root cause analysis. - Mentor junior developers and contribute to team knowledge sharing.

• Work with product, design, and clinical staff, to understand stakeholder needs and build services and features to help deliver care. • Own your work, from inception of ideas, to use in production. • Write and maintain well tested code across multiple services. • Help build and maintain metrics, monitoring, performance, and security of the systems we own. • Build foundational data models that afford flexibility and operational visibility

• Design, build, and deliver large-scale and real-time systems with high quality, scalability, and operability in mind. • Collaborate with product management, data science, and other engineering teams to bring end-to-end solutions to our customers. • Review and provide feedback on technical designs and code changes to engineering peers. • Proactively identify areas of technical debt and propose solutions to address them. • Take operational ownership of the system by using monitoring and observability tools to identify and respond to issues. • Mentor and coach team members to raise the technical bar on the team.

• Develop and optimize RAG pipelines: Build advanced Retrieval-Augmented Generation (RAG) systems that query multiple data sources, such as PDFs and video transcripts, to ensure accurate responses with broad content coverage. • Automate quality evaluation: Implement "LLM-as-a-Judge" pipelines to audit the quality of AI responses at scale. • Build AI personalization: Develop and implement long-term conversational memory systems (using frameworks like LangChain) so the system can remember context and interaction histories. • Architect multi-agent systems: Design and build an architecture of specialist agents with an intelligent router that directs requests to the most appropriate agents. • Work with LLMs: Use and optimize the latest large language models (GPT, Claude, etc.), applying prompt engineering techniques to maximize response quality. • Contribute to knowledge vectorization: Support the strategic "Ubiquitous AI" initiative by helping to structure and vectorize Gran's entire academic repository to make it accessible to AI. • Define data contracts: Collaborate with software developers to define the APIs and data contracts required to serve AI models efficiently and with low latency.