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Software Engineer Ai Remote Jobs in Georgia (NOW HIRING)

Cox Communications, Inc.

Software Engineer II

Atlanta, GA · On-site +1

$89K - $134K/yr

As a Software Engineer on Cox Automotive's Wholesale Workflow team, you'll build and maintain features on an AI-native platform in a collaborative, cross-functional Agile/Kanban environment. You'll ...

iboss

Federal Software Engineer - Remote

Atlanta, GA · On-site +1

To learn more, visit As a C++ Software Engineer at iboss, you will have the opportunity to work on multiple technologies at a fast growing cybersecurity company. This is an excellent opportunity to ...

iboss

Federal Software Engineer - Remote

Atlanta, GA · Remote

To learn more, visit As a C++ Software Engineer at iboss, you will have the opportunity to work on multiple technologies at a fast growing cybersecurity company. This is an excellent opportunity to ...

MasterCard

Lead Software Engineer

Atlanta, GA · Remote

Title and Summary Lead Software Engineer Mastercard is a global technology company in the payments ... Write code, build prototypes, and use AI coding tools to improve speed, quality, and team ...

Cox Communications, Inc.

Software Engineer II

Atlanta, GA · On-site +1

$89K - $134K/yr

As a Software Engineer II on Cox Automotive's Wholesale Workflow team, you'll build and maintain features on an AI-native platform in a collaborative, cross-functional Agile/Kanban environment. You ...

Zinnia

Software Engineer III

Alpharetta, GA · On-site +1

$100K - $120K/yr

AI INTEGRATION: Practical hands-on experience embedding AI capabilities into production software including LLM API integration, prompt engineering and developing AI-adjacent features, actively ...

Zinnia

Software Engineer III

Alpharetta, GA · On-site +1

$100K - $120K/yr

AI INTEGRATION: Practical hands-on experience embedding AI capabilities into production software including LLM API integration, prompt engineering and developing AI-adjacent features, actively ...

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Software Engineer Ai Remote information

How does a remote software engineer AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a software engineer AI remote do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

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

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

What are popular job titles related to Software Engineer Ai Remote jobs in Georgia? For Software Engineer Ai Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Remote jobs in Georgia look for? The top searched job categories for Software Engineer Ai Remote jobs in Georgia are:
What cities in Georgia are hiring for Software Engineer Ai Remote jobs? Cities in Georgia with the most Software Engineer Ai Remote job openings:
Software Engineer Ai Remote jobs near you
Infographic showing various Software Engineer Ai Remote job openings in Georgia as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior AI Full stack Software Engineer

McKesson

Alpharetta, GA • On-site, Remote

$131K - $218K/yr

Full-time

Posted 12 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms.

Key Responsibilities

  • Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency.

  • Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare ITinfrastructure.

  • Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results).

  • Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards.

  • Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization.

  • Rapid AI prototyping and iteration with product representatives to vet multiple concepts

We are unable to provide sponsorship for this role presently or in the future.

Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area.

Minimum Qualifications

  • 10+ years of software engineering experience, with 4+ years in AI/ML development preferred.

  • B.S. degree in Computer Science or related engineering discipline, or equivalent experience

Critical Skills

  • 2+ years of experience building AI solutions in healthcare or lifesciences.

  • Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR).

  • Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and carepersonalization.

  • LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools likePydantic, Semantic Kernel,LangChain,LlamaIndex, and vector databases.

  • Experienced in creating custom AI agents or spec-driven tools.

  • Experience writing skills for Claude, Copilot, Codex etc.

  • Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.

  • Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks.

Preferred Skills

  • Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.

  • AI Tooling: Familiarity with OpenAI, Hugging Face,PyDanticAI, TensorFlow,PyTorch, and healthcare-specific AI libraries.

  • Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams.

  • Experience mentoring and developing juniors in development an AI concepts/best practices.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$131,000 - $218,300

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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