4+ years of hands-on experience in core Python development
Strong understanding of Python syntax, data structures, OOP, and design principles
Experience with AI application development, including building AI agents and integrating LLMs
Proficiency in Python frameworks such as Django, FastAPI, or Flask
Experience with Python data/ML libraries like Pandas, NumPy, and Scikit-learn
Understanding of unit testing tools and test automation
Experience designing and maintaining enterprise-scale automation systems
Responsibilities
Leverage AI tools to generate Python-based web applications and backend services
Design and generate unit test cases for Python code using AI-assisted tooling
Build AI-driven components using modern AI development tools
Debug and optimize applications for stability and performance
Stay updated with emerging technologies relevant to Python and AI
Design and test automation workflows with assured quality
Collaborate with cross-functional teams to define and automate processes
Benefits
Collaborative work environment in an Agile squad
Opportunity to work with cutting-edge AI-driven development tools
Exposure to diverse teams across Wealth Management and infrastructure
Focus on continuous learning and staying updated with emerging technologies
Involvement in modernizing legacy systems to a contemporary tech stack
Full Job Description
Role description
Role Title - Python/AI Developer
We are seeking a Python/AI Developer who will use AI-driven development tools to help modernize the legacy codebase into a modern technology stack. The role involves working in an Agile squad and collaborating with teams across Wealth Management, infrastructure, and architecture. The candidate should understand the banking technology environment and build solutions that adapt to changing business needs.
Job Functions/Duties and Responsibilities:
Leverage Microsoft Copilot and other AI-assisted development tools to generate Python Python-based web applications, backend services, and automation solutions, and perform comprehensive reviews to ensure correctness, quality, and adherence to object-oriented programming principles and engineering standards
Leverage AI-assisted tooling to design and generate unit test cases to test Python code, and execute these tests to validate functionality and compliance with business and technical requirements
Build AI-driven components leveraging Agentic AI frameworks, Microsoft Copilot extensibility, and other modern AI development tools.
Debug, troubleshoot, and optimize applications to ensure stability, performance, and reliability.
Stay updated with emerging technologies, frameworks, and best practices relevant to Python development and AI.
Design, develop, and test automation workflows with assured quality.
Monitor the changes that happen after implementing the feedback during development or testing phase while keeping the project specifications intact.
Reviewing the code/design and providing expertise in the development, and integration of systems
Configuring new automations in an efficient and easily understandable way
Documenting the automation procedures
Development of custom libraries
Work with Business Analysts, Scrum Masters, QA Analysts, Product Owners, and other cross-functional resources to define, automate the process and deliver on time
Skills Required:
4+ years of hands-on experience in core Python development.
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
