> Markdown version of [/jobs/ext/3028927-python-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/3028927-python-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python/AI Software Engineer - **Company:** Blu Omega - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Databases, Information Engineering, Data Integration, Python (Programming Language), Standard Sql, Software Engineering, Software Systems, GitHub Copilot - **Published:** September 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9162848/pythonai-software-engineer ## About the Role * U.S. Citizen * 5 years of software development experience * Bachelor's degree in a relevant field * Strong hands-on Python development skills * Proficient SQL skills * Experience with data engineering and data integration * Practical experience using AI-assisted development tools such as Codex or GitHub Copilot * Ability to evaluate, troubleshoot, and validate AI-generated code ## Description Blu Omega is seeking a Python/AI Software Engineer to support the CDC National Center for Environmental Health (NCEH). This role is responsible for developing new applications and software solutions, with a focus on AI-assisted development within supported operating environments., * Develop new applications and software solutions from the ground up using Python and SQL. * Integrate and process data from multiple sources, including APIs, databases, and analytics platforms. * Utilize AI tools such as Codex and GitHub Copilot throughout the software development lifecycle. * Critically evaluate AI-generated code, identify issues, troubleshoot, test, and validate solutions to ensure production readiness. * Apply engineering judgment to assess AI output, recognizing and correcting errors or inefficiencies.