What are the responsibilities and job description for the Mid / Sr. / Lead AI Software Engineers - Python / .NET Core - 5 openings position at Expert Technical Solutions?
AI-Accelerated Software Engineer ( Mid/ Senior/Lead) – 5 openings
Type: 6 -Month Contract-to-Hire
Location: Alpharetta, GA (Onsite 5x/ wk )
Experience: 3 Years
Overview
Expert Technical Solutions has an immediate opening for an AI- Accelerated Software Engineer with one of our premier clients in Alpharetta, GA. We are seeking high-output software engineers who excel at building quickly using AI-powered development tools. This role is suited for someone who naturally works faster with tools like Copilot, Cursor, or Claude Code and consistently uses AI to enhance development, testing, and deployment.
What You’ll Do
Type: 6 -Month Contract-to-Hire
Location: Alpharetta, GA (Onsite 5x/ wk )
Experience: 3 Years
Overview
Expert Technical Solutions has an immediate opening for an AI- Accelerated Software Engineer with one of our premier clients in Alpharetta, GA. We are seeking high-output software engineers who excel at building quickly using AI-powered development tools. This role is suited for someone who naturally works faster with tools like Copilot, Cursor, or Claude Code and consistently uses AI to enhance development, testing, and deployment.
What You’ll Do
- Rapidly produce production-ready code in .NET Core or Python with the assistance of AI coding tools.
- Generate automated test suites (unit, integration, end-to-end) using GenAI capabilities.
- Create mock data, identify vulnerabilities, and perform code quality checks using AI.
- Support deployment and infrastructure tasks through infrastructure-as-code (Terraform/Bicep) and AI-enhanced debugging.
- Collaborate in a fast-moving, iterative environment focused on delivering prototypes and features quickly.
- 3 years of hands-on development experience.
- Strong fluency in .NET Core or Python and best practices for clean, maintainable code.
- Regular use of modern AI tools for coding, testing, or DevOps tasks (Copilot, Cursor, Windsurf, Claude Code, etc.).
- Knowledge of spec-driven development and context engineering with GenAI models.
- Comfort working in a rapid, experimental environment where priorities change quickly.
- Testing-first mindset and ability to automate QA processes through AI.
- You’ll work in an environment where AI-powered development isn’t optional—it’s the standard.
- You’ll directly influence and accelerate the organization’s software delivery approach.
- Successful c andidates have a clear path to transition into full-time roles.