Title: Python Agentic
Location: Atlanta, GA (F2F Must)
Rate: $65-$70/hr. on C2C
Summary
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
Skills Desired
- Knowledge of payment solutions & banking applications
Key Skills
- Seasoned Systems Architect: You bring 7+ years of professional experience designing and managing complex system applications.
- Python Power User: You are highly proficient in the Python ecosystem, specifically with Django and GraphQL.
- Cloud Native: You have deep experience deploying and managing high-scale applications within the AWS Cloud.
- Architectural Expertise: You possess a strong background in Service Oriented Architecture (SOA), microservices, and event-driven pub-sub frameworks.
- Full-Stack Backend Mentality: You are comfortable across multiple domains, including application architecture, data pipelines/ETL, platform security, and building for massive scalability and resilience.
- Strategic Collaborator: You excel at working cross-functionally with designers, PMs, data scientists, and business stakeholders to turn high-level ideas into technical reality.
- Best-Practices Champion: You are a proponent of Domain-Driven Design (DDD) and agile methodologies, with a passion for rapid prototyping and continuous improvement.