Full stack Developer
Summary
Builds and maintains scalable, responsive web applications end to end — front-end (React, Angular, Vue.js) and back-end (Node.js, Python, Java, .NET) — including APIs, databases, and cloud platforms, with a strong emphasis on integrating AI tools, AI APIs, and ML frameworks into systems and workflows.
Job Description: Full Stack Developer
We are seeking a highly skilled and innovative Full Stack Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications across both front‑end and back‑end environments. Beyond traditional development expertise, the candidate must demonstrate advanced proficiency in navigating and leveraging Artificial Intelligence (AI) tools and frameworks to enhance productivity, optimize workflows, and integrate intelligent solutions into our systems.
Key Responsibilities
- Design, develop, and maintain responsive web applications using modern frameworks and technologies.
- Collaborate with cross‑functional teams to gather requirements and deliver high‑quality solutions.
- Build and optimize APIs, databases, and server‑side logic for performance and scalability.
- Implement secure coding practices and ensure compliance with industry standards.
- Integrate AI‑driven tools, APIs, and platforms into applications to improve automation and user experience.
- Stay updated with emerging technologies, particularly in AI, machine learning, and cloud computing.
- Troubleshoot, debug, and upgrade existing systems.
- Document technical processes and contribute to best practices.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience).
- Proven experience as a Full Stack Developer with expertise in both front‑end (React, Angular, Vue.js, etc.) and back‑end (Node.js, Python, Java, .NET, etc.) technologies.
- Strong knowledge of databases (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP).
- Demonstrated ability to navigate AI tools like a pro, including experience with AI APIs, machine learning frameworks (TensorFlow, PyTorch), and productivity platforms powered by AI.
- Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to work independently or in a team environment.
- Strong communication skills with the ability to explain technical concepts clearly.
- Commitment to continuous learning and innovation in AI and software development.