Description

Key Responsibilities

• Design, develop, and deploy enterprise AI-powered applications.
• Build Generative AI applications, LLM integrations, AI agents, and RAG solutions.
• Develop full-stack applications using Python and modern UI technologies.
• Integrate REST APIs, enterprise applications, databases, and business workflows.
• Lead and mentor a team of approximately five developers.
• Define coding standards and engineering best practices.
• Implement CI/CD pipelines and automated testing.
• Use AI tools to improve development speed, productivity, and software quality.
• Build scalable and secure solutions for business automation.
• Improve operational efficiency, development cycle time, and overall product quality.

Required Skills

• Strong experience with Python.
• Full Stack Development.
• Modern UI Development.
• Generative AI (GenAI).
• Large Language Models (LLM).
• AI Agents.
• RAG (Retrieval-Augmented Generation).
• Intelligent Automation.
• REST APIs.
• Cloud Technologies.
• System Integration.
• Solution Architecture.
• CI/CD and Automated Testing.
• Technical Leadership and Team Management.

Mandatory Requirements

• 5+ years of software engineering experience.
• Strong hands-on experience in Python and Full Stack Development.
• Experience developing and deploying AI/Generative AI solutions.
• Hands-on experience with LLM integrations, AI Agents, and RAG.
• Experience with cloud platforms, APIs, and enterprise integrations.
• Experience leading a team of around five developers.
• Knowledge of CI/CD, automated testing, and production deployment.
• Experience using AI development tools such as:
  • GitHub Copilot
  • Microsoft 365 Copilot
  • Other enterprise-approved GenAI tools
• Ability to use AI tools regularly to improve engineering productivity

Key Skills

Education

Bachelor's degree