Full Stack Developer (AI-Enabled Applications)

Summary

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.
  

• 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.