Candidate Profile: Full Stack Engineer (AI-Assisted Product Development)

Full Stack Engineer with strong expertise in UI/UX design, capable of building standalone mobile and web apps and delivering fast MVPs(link removed) Proficient in modern frameworks (React, Node.js, Flutter/React Native) with hands-on GitLab (CI/CD, version control) experience. Skilled in leveraging AI tools like Claude or Codex for rapid development. Ideal candidate is execution-driven, design-focused, and able to independently deliver scalable, production-ready applications.

Key Responsibilities

• Design, develop, and deploy standalone mobile and web applications from concept to MVP.

• Translate business requirements into functional, scalable, and user-friendly interfaces(link removed)

• Rapidly prototype and iterate using AI-assisted coding tools (Claude, Codex) to accelerate delivery.

• Set up and maintain GitLab repositories, CI/CD pipelines, and version control best practices.

• Ensure applications are modular, reusable, and can be deployed independently across environments.

• Collaborate with product and design teams to deliver high-impact, production-ready MVPs(link removed)

Core Skills & Experience

• Strong experience in Full Stack Development:

• Frontend: React, Angular, or Vue (Web), Modern JavaScript

• Mobile: React Native / Flutter / native (iOS/Android)

• Backend: Node.js, Python, or similar frameworks

• Proven track record of building and launching MVPs or early-stage products(link removed)

• Hands-on experience with GitLab (repositories, CI/CD pipelines, branching strategies)(link removed)

• Familiarity with API design, microservices, and standalone app architecture(link removed)

• Experience using AI coding assistants (Claude, Codex, GitHub Copilot, etc.) for rapid development.

• Strong understanding of cloud deployment (AWS, GCP, or Azure)(link removed)

Preferred Qualifications

• Experience working in startup or fast-paced product environments(link removed)

• Ability to independently drive projects with minimal supervision.

• Knowledge of DevOps, containerization (Docker), and scalable deployment strategies(link removed)

• Exposure to UX/UI best practices for intuitive application design.

Ideal Candidate Traits

• Speed-focused with a build fast, iterate faster mindset

• Comfortable balancing quality with rapid delivery

• Strong problem-solving and ownership mentality

• Proactive in adopting new tools and AI-driven development approaches

Outcome Expectation

• Deliver production-ready MVPs in short timelines

• Build scalable, reusable standalone applications

• Leverage AI tools to significantly reduce development cycle time