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Temporary Ai Software Engineer Jobs in Georgia (NOW HIRING)

Asure Software

Associate Software Engineer

Atlanta, GA · On-site

Collaborate with engineers, product managers, and other stakeholders to develop software solutions ... Leverage AI-powered development tools and automation technologies to improve productivity, code ...

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Temporary Ai Software Engineer information

What is a temporary AI software engineer?

A Temporary AI Software Engineer is a professional hired on a short-term or contract basis to develop, implement, and optimize artificial intelligence solutions. Their work often includes building machine learning models, writing code, and collaborating with data scientists or other engineers. Temporary roles typically address project-specific needs or fill in for permanent staff. These engineers must be proficient in programming languages like Python, understand AI frameworks, and adapt quickly to new teams and projects. The duration of their employment can range from a few weeks to several months, depending on the employer's requirements.

What are the key skills and qualifications needed to thrive as a temporary AI software engineer?

To thrive as a Temporary AI Software Engineer, you need strong programming skills in languages like Python or Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and knowledge of version control systems like Git are often required. Analytical thinking, adaptability, and effective communication are crucial soft skills for quickly integrating with teams and delivering results on short-term projects. These capabilities enable rapid onboarding, effective problem-solving, and successful delivery of AI solutions within limited timeframes.

What are some typical challenges faced by temporary AI software engineers during short-term assignments?

Temporary AI Software Engineers often encounter the challenge of quickly adapting to new codebases, tools, and team workflows. Since assignments are short-term, there's usually limited time for onboarding, so being able to understand project requirements and deliver results efficiently is crucial. Collaboration with permanent team members is key, as they can provide valuable context and guidance. Effective communication and strong problem-solving skills help ensure successful project contributions within tight timelines.

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Temporary Ai Software Engineer jobs near you

AI Software Engineer- Medicare Billing & Care Management Platforms

Symphony Solutions

Alpharetta, GA • On-site

$120K - $165K/yr

Full-time

Re-posted 10 days ago

Job description

About the Role
You will design and maintain SaaS solutions tailored for Medicare care management programs (CCM, RPM, RTM, PCM, BHI, TCM, AWV). Beyond core development, you’ll champion AI-driven engineering practices to transform our SDLC, mentoring engineers and driving technical excellence.
Key Responsibilities:
  • Medicare & Billing Workflows: Implement CMS billing rules, reimbursement logic, time-tracking, and automated CPT coding workflows (e.g., CCM 99490, RPM 99453/99454, RTM 98975).
  • Platform & Interoperability: Build scalable microservices, FHIR/HL7 interfaces, and EHR integrations (Epic, athenahealth, eClinicalWorks, NextGen, etc.).
  • Compliance & Security: Ensure platform alignment with HIPAA, CMS regulations, and SOC 2/HITRUST frameworks.
  • AI Leadership: Leverage and champion AI-driven tools (Cursor, Claude Code, Augment Code, Copilot) to accelerate delivery and modern development workflows.
     
Key Requirements:
  • Experience: 8+ years in software engineering (4+ years in Healthcare SaaS).
  • Tech Stack: C#, .NET Core / ASP.NET Core, REST APIs, SQL Server/MySQL, Azure/AWS, Microservices, CI/CD.
  • AI-Driven SDLC: Hands-on proficiency with AI coding assistants (Cursor, Claude Code, Augment Code, GitHub Copilot).
  • Healthcare Interoperability: FHIR APIs, HL7 v2, C-CDA, and EHR integration architecture.
  • Domain Knowledge: Deep understanding of Medicare reimbursement policies, CPT codes, and revenue cycle management.