Description

• 5+ years' experience
• Backend & Full Stack Engineering (25%)
  • Strong backend engineering background (role is heavily backend-focused)
  • Hands on experience with programming languages such as Java, Node.js, Python
  • Familiarity with modern web application architectures
  • API design, development, and integration expertise
• AI & LLM Engineering (25%)
  • Experience leveraging Large Language Models (LLMs) to solve business problems
  • Strong understanding of prompt engineering, prompt management, and GenAI solution design
  • Experience working with GenAI developer tools such as: GitHub Copilot, Gemini, Claude
  • Familiarity with AI strategy, implementation, and scaling AI-driven solutions
• Data Platform Engineering (25%)
  • Strong data engineering experience
  • Experience with data pipelines, data stores, orchestration frameworks, and distributed systems
  • Understanding of machine learning workflows and AI-enabled applications
  • Experience deploying and scaling AI/ML solutions in production environments
• Cloud Architecture, Scale & Security (25%)
  • Cloud-native development experience
  • Kubernetes and containerized application deployment
  • Experience with deployment patterns and scalable system design
  • Understanding of secure, enterprise-grade architecture

Key Skills

Education

Bachelor's degree