Sr Python Engineer - AI & Financial Systems
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Senior Python & AI Engineer in Charlotte, NC (Hybrid). May consider remote. Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 12 Months Seeking a Senior Python Engineer with deep experience in financial services and AI-native tooling to join a client engagement within a large-scale banking environment. The ideal candidate combines rigorous Python engineering with practical, hands-on expertise in Anthropic's Claude Code — the command-line AI development agent — to accelerate delivery of intelligent automation, data pipeline, and systems integration solutions.
Key Responsibilities
- Design, develop, and maintain Python-based applications, microservices, and automation pipelines supporting financial workflows (risk, compliance, reporting, trading operations, or core banking)
- Leverage Claude Code as a primary development accelerator — using agentic coding, multi-file edits, and integrated terminal workflows to dramatically increase delivery velocity
- Integrate with financial data systems, APIs
- Build and maintain data transformation pipelines, ETL processes, and analytics tooling using Python-native frameworks
- Collaborate within Agile delivery teams; participate in sprint ceremonies, code reviews, and technical design discussions
- Apply software engineering best practices: unit testing, CI/CD integration, code documentation, and version control
- Support UAT, debugging, and production incident response as needed within a banking-regulated environment
- Clearly communicate technical decisions and trade-offs to both technical peers and non-technical stakeholders
Required Qualifications
- 5+ years of professional Python development experience in production environments
- Active, hands-on proficiency with Claude Code — demonstrated ability to use it for real engineering tasks (agentic workflows, code generation, refactoring, testing)
- Experience working in financial services or banking — understanding of domain concepts such as trade lifecycle, risk models, compliance/regulatory data, or core banking systems
- Strong command of Python ecosystem tools: FastAPI, Pandas, SQLAlchemy, Pydantic, pytest, and standard packaging/dependency tooling
- Proficiency with REST APIs, event-driven patterns, and system integration in enterprise environments
- Experience with relational databases (PostgreSQL, SQL Server, or Oracle) and SQL fluency
- Solid understanding of Git-based version control and code review practices
- Ability to operate effectively in a regulated industry environment, including data governance and audit trail considerations
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