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# Python Developer

- **Company:** GLENN HEIGHTS TX LLC
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $104,000.0 - $208,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Validation, Cursor, Github, Python (Programming Language), Machine Learning, Performance Tuning, Software Security, AI Coding Agents, Backend, Database Migration, Bug Reporting, Graphql, Restful APIs, Web Api
- **Published:** October 5, 2026
- **Apply:** https://www.juju.com/job/18_5339_429563

## About the Role

* At least 3 years of professional backend development experience with strong Python expertise.
 * Experience building and maintaining RESTful and GraphQL APIs.
 * Advanced knowledge of backend validation, error handling, and API security.
 * Hands-on experience with database migrations, schema design, and performance tuning.
 * Extensive experience using AI coding tools. Familiarity with Cursor is highly desirable.
 * Excellent written and verbal communication skills, including clear incident and bug reporting.
 * Ability to work effectively in fast-paced, confidential, collaborative remote environments.

Preferred Qualifications

 * Public open-source contributions, such as GitHub contributions or stars.
 * Experience designing or evaluating experimental tools and developer workflows.
 * Interest in advances in AI-assisted software development.

## Description

Apply your backend engineering expertise to help improve next-generation AI systems through real-world development work, structured testing, and actionable feedback. No previous AI experience is required., * Design, build, and optimize scalable REST and GraphQL API endpoints.

 * Implement strong data validation, error handling, and security practices across backend services.
 * Plan and perform database migrations, performance optimizations, and schema updates.
 * Test AI-powered models in Cursor and document findings with incident reports, bug traces, and screenshots.
 * Take part in intensive four-day testing bursts that examine the effect of AI models on real coding workflows.
 * Discuss findings and proposed improvements with the research team through a dedicated Slack channel.
 * Complete detailed post-testing surveys on model performance and developer experience.