Python/AI Developer

We are seeking an experienced Python/AI Developer to modernize legacy applications and build scalable, AI-driven solutions using modern development technologies.The candidate will work within an Agile team, collaborating with Wealth Management, Infrastructure, Architecture, and other cross-functional teams. The ideal candidate should have strong Python development skills, hands-on experience with Agentic AI, LLM integration, automation frameworks, and enterprise application architecture., Leverage Microsoft Copilot and other AI-assisted development tools to build Python-based web applications, backend services, and automation solutions. Design, develop, and implement AI-driven components using Agentic AI frameworks and LLM integrations. Develop AI agents, implement prompt engineering, and design model interaction workflows. Generate and review Python code while ensuring quality, security, maintainability, and adherence to OOP principles. Design and execute unit test cases using Pytest, Unittest, and other testing frameworks. Develop and maintain enterprise-scale automation systems and workflow-based solutions. Debug, troubleshoot, and optimize applications for performance, scalability, and reliability. Build custom Python libraries and configure queue-based automation workflows. Participate in code reviews, system integration, and architectural design. Collaborate with Business Analysts, Scrum Masters, QA Analysts, Product Owners, and other stakeholders. Document automation procedures, technical designs, and development processes.

4+ years of hands-on experience in Core Python development. Strong knowledge of Python syntax, data structures, OOP, and design principles. Hands-on experience with Agentic AI architecture and AI agent development. Experience integrating LLMs into enterprise workflows. Strong understanding of Prompt Engineering and Model Interaction Design. Experience with Spec-Driven Development. Proficiency in Python frameworks such as Django, FastAPI, or Flask. Experience with Pandas, NumPy, Scikit-learn, and other Python data/ML libraries. Knowledge of unit testing frameworks such as Pytest and Unittest. 4+ years of experience designing and maintaining enterprise-scale automation systems. Experience in process engineering and process re-engineering. Strong understanding of software engineering principles, including encapsulation, extensibility, and maintainability. Experience developing workflow-based solutions and queue-based automation. Experience building and maintaining custom libraries. Equal Opportunity Employer