Full Stack Developer (AI-Enabled Applications)

Summary

We are seeking a seasoned Full Stack Developer with specialized expertise in artificial intelligence to design, build, and maintain robust AI-driven applications. In this pivotal role, you will leverage advanced machine learning models and cloud-native architectures to deliver scalable solutions that integrate seamlessly with existing enterprise systems. The ideal candidate will bridge the gap between traditional web development and cutting-edge generative AI technologies, ensuring that all applications are secure, efficient, and aligned with responsible AI principles. This position is critical for driving innovation in our IT services sector, requiring a deep understanding of both front-end user experiences and back-end AI orchestration.

Responsibilities

• Architect and develop scalable full-stack applications utilizing TypeScript, JavaScript, and modern HTML/CSS frameworks.
• Implement advanced AI capabilities by integrating Large Language Models (LLMs) and Generative AI tools into core business workflows.
• Design and manage Retrieval-Augmented Generation (RAG) pipelines to enhance application intelligence and data retrieval accuracy.
• Engineer secure cloud infrastructure using AWS or Azure, focusing on cloud-native patterns and microservices architecture.
• Automate deployment and configuration processes through Terraform (HCL) and Shell scripting to ensure reliable and repeatable environments.
• Develop and maintain RESTful APIs and microservices to facilitate seamless communication between AI components and client applications.
• Embed security and data privacy protocols directly into the AI development lifecycle to uphold responsible AI standards.
• Utilize Python to build automation scripts, integrate AI models, and manage API interactions for enhanced system performance.

Requirements

Experience: A proven track record of 6 to 9 years in software development, specifically within the IT Services industry.
Core Languages: Proficiency in TypeScript, JavaScript, HTML/CSS, and Python for full-stack and AI integration tasks.
AI & Machine Learning: Hands-on experience with Generative AI, LLMs, Prompt Engineering, and AI Orchestration frameworks.
Cloud & DevOps: Strong background in AWS or Azure cloud platforms, including expertise in Terraform (HCL) and Shell scripting for infrastructure as code.
Architecture: Demonstrated ability to design and implement microservices, REST APIs, and cloud-native architectures.
Security & Compliance: Knowledge of Responsible AI practices, data privacy regulations, and security best practices for AI applications.