Description

• Strong understanding of Python syntax, data structures, OOP, and design principles.
• Experience with AI application development, including:
• Building AI agents (Agentic AI architecture)
• Integrating LLMs into workflows
• Prompt engineering and model interaction design
• Spec Driven Development
• Proficiency in Python frameworks such as Django, FastAPI, or Flask.
• Experience with Python data/ML libraries (Pandas, NumPy, Scikit‑learn, etc.).
• Understanding of unit testing tools (pytest, unittest) and test automation.
• 4 years or more experience designing, developing, and maintaining enterprise scale automation systems
• Experience with process engineering and re-engineering
• Core understanding of software engineering principles (e.g. encapsulation, extensibility, maintainability)
•  Experience architecting and developing workflow-based solutions or functionality.
• Strong knowledge and work experience in automating process using Queues, creation of Libraries

Key Skills

Education

Not specified