Python Engineer

Machine Learning Technologies, LLC; Charlotte (NC); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC in Charlotte, NC seeks an experienced Senior Python Engineer to design, develop, test, deploy, and support scalable production-grade applications, data pipelines, APIs, and automation workflows in Capital Markets contexts.

The ideal candidate has 8+ years of Python and SQL development, strong software architecture skills, and hands-on experience with REST services, data modeling, and front-end frameworks. AI/GenAI experience is highly desirable.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Finance, or related field; advanced degree preferred.
• Experience developing Capital Markets solutions involving hedges, securities, derivatives, interest rates and related financial products.
• 8+ years of hands-on software engineering experience designing, developing, testing, deploying, and supporting production-grade applications.

Responsibilities

• Design, develop, test, deploy, and support scalable, production-grade applications, data pipelines, APIs, and automation workflows.
• Translate complex business requirements into technical specifications and architecture designs.
• Implement AI/GenAI use cases including agent development, orchestration, and RAG.

Skills

Python development

SQL

REST APIs

Data pipelines

Unit testing

Front-end frameworks

Education

Bachelor's degree in Computer Science or related field

Advanced degree preferred

Tools

Dash

Flask

React

Vue.js

Angular

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are seeking an experienced Senior Python Engineer with strong expertise in Python development, SQL, application architecture, and Capital Markets solutions. The ideal candidate will design, develop, test, deploy, and support scalable, production-grade applications, data pipelines, APIs, and automation workflows.

Experience with AI/GenAI solutions, including agent development and orchestration, RAG, prompt engineering, and MCP integration, is highly desirable.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Finance, or a related field, with significant relevant experience. Advanced degree preferred.
• Experience developing Capital Markets solutions involving hedges, securities, derivatives, interest rates, and related financial products.
• 8+ years of hands-on software engineering experience designing, developing, testing, deploying, and supporting production-grade applications.
• 8+ years of strong Python development experience, including:
• Object-oriented programming and software design principles.
• Modular development and reusable components.
• Unit testing, packaging, and performance optimization.
• Writing clean, scalable, and maintainable code.
• 8+ years of SQL experience, including:
• Relational database design and data modeling.
• Data normalization, indexing, and joins.
• Query optimization and primary/foreign keys.
• SQL-based data pipelines.
• Strong experience designing and integrating REST APIs, services, automation workflows, and data processing jobs.
• Experience with data pipeline design, application architecture, IT architecture, or enterprise technology solution delivery.
• Ability to translate complex or ambiguous business requirements into technical specifications, architecture designs, and implementation plans.
• Front-end or UI development experience using Dash, Flask, React, Vue.js, Angular, or similar frameworks.
• Experience implementing AI/GenAI use cases, including:
• AI agent development and orchestration.
• Prompt engineering and Retrieval-Augmented Generation (RAG).
• MCP (Model Context Protocol) client/server integrations.
• Experience with mainstream AI tools, platforms, and frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.