Software Engineer

Role Overview

Lead the design, development, deployment, and maintenance of AI-driven, cloud-native applications and platforms. You will architect scalable, secure AI solutions, build and operationalize machine learning models, and drive cloud modernization initiatives including containerization and CI/CD automation.

Responsibilities

• Architect scalable, secure AI solutions using cloud services such as AWS, Azure, or GCP.
• Build, integrate, and operationalize machine learning models, APIs, and data pipelines in production.
• Establish engineering standards and reference architectures for AI and cloud solutions.
• Leverage AI-assisted development and tooling to improve code quality and productivity.
• Drive cloud modernization, including migration and CI/CD automation.
• Design and deploy AI-powered solutions using no-code, low-code, and advanced platforms.
• Use GenAI tools like Copilot, Claude, and Gemini AI to prototype and implement features.

Requirements

• Undergraduate degree or equivalent experience.
• Knowledge of Angular, .Net core, Azure, SQL server, Kubernetes, Python, NLP, and Generative AI.
• Exposure to agentic AI and AI Builder responsibilities.

Skills

• Generative AI
• Python
• Azure
• Kubernetes
• Machine Learning