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. 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.
- 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.
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.
- Hands-on experience with GitLab (repositories, CI/CD pipelines, branching strategies).
- Familiarity with API design, microservices, and standalone app architecture.
- Experience using AI coding assistants (Claude, Codex, GitHub Copilot, etc.) for rapid development.
- Strong understanding of cloud deployment (AWS, GCP, or Azure).
Preferred Qualifications
- Experience working in startup or fast-paced product environments.
- Ability to independently drive projects with minimal supervision.
- Knowledge of DevOps, containerization (Docker), and scalable deployment strategies.
- 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
