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Artificial Intelligence Software Engineer Jobs in Georgia

neptune technologies

Software Engineer (BI)

Duluth, GA · On-site

Software Engineer (BI) Position Summary As a Business Intelligence Software Engineer, you will apply knowledge of enterprise applications and development to analyze, program, and implement Data ...

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IAM Software Engineer

Atlanta, GA · On-site

As an IAM Software Engineer, you will help to drive the evolution of our enterprise identity ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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IAM Software Engineer

Atlanta, GA

As an IAM Software Engineer, you will help to drive the evolution of our enterprise identity ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

... artificial intelligence solutions. The ideal candidate will build scalable AI models, optimize ... with data scientists, software engineers, and product teams • Optimize model accuracy ...

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Artificial Intelligence Software Engineer information

See Georgia salary details

$53.6K

$124.6K

$173.5K

How much do artificial intelligence software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for artificial intelligence software engineer in Georgia is $124,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $146,100.00 per year, depending on experience, location, and employer.

What does an artificial intelligence software engineer do?

An Artificial Intelligence Software Engineer designs, develops, and implements software systems that use AI techniques such as machine learning, deep learning, and natural language processing. They work with large datasets, build and train models, and integrate AI capabilities into applications to solve complex problems. Their responsibilities often include collaborating with data scientists, optimizing algorithms, and ensuring the scalability and efficiency of AI solutions.

What are the key skills and qualifications needed to thrive as an artificial intelligence software engineer?

To thrive as an Artificial Intelligence Software Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python or Java, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Strong problem-solving skills, creativity, and effective communication help set top performers apart in this role. These competencies are crucial for designing innovative AI solutions, collaborating with teams, and ensuring successful deployment in real-world applications.

How does an artificial intelligence software engineer typically collaborate with data scientists and product teams?

Artificial Intelligence Software Engineers frequently work alongside data scientists to translate complex models and algorithms into scalable, production-ready code. They also collaborate closely with product managers and UX teams to ensure AI solutions align with user needs and business objectives. Effective communication and a strong understanding of both software engineering and data science principles are essential, as these engineers often serve as a bridge between technical and non-technical stakeholders throughout the project lifecycle.

What is the difference between Artificial Intelligence Software Engineer vs Data Scientist?

AspectArtificial Intelligence Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; programming skillsBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and software applicationsAnalyzes data, builds models, and interprets insights
Employer & Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonFocuses on AI development and software engineeringFocuses on data analysis and statistical modeling

While both roles require programming skills and a background in data or AI, Artificial Intelligence Software Engineers primarily develop AI algorithms and software applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different core functions within tech and data-driven organizations.

What are popular job titles related to Artificial Intelligence Software Engineer jobs in Georgia?

For Artificial Intelligence Software Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Software Engineer jobs in Georgia look for?

The top searched job categories for Artificial Intelligence Software Engineer jobs in Georgia are:

What cities in Georgia are hiring for Artificial Intelligence Software Engineer jobs?

Cities in Georgia with the most Artificial Intelligence Software Engineer job openings:

Artificial Intelligence Software Engineer jobs near you
Infographic showing various Artificial Intelligence Software Engineer job openings in Georgia as of August 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,566 per year, or $59.9 per hour.

Software Engineer Intern/Co-Op - Fall 2026

SoloPulse

Peachtree Corners, GA

Full-time

Re-posted 3 days ago

Job description

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of the frontiers of radar sensing technology. Through the utilization of novel advanced wave theory algorithms, underpinned by the principles of special relativity, SoloPulse can achieve state of the art resolution and latency metrics. Located in Atlanta, GA, SoloPulse stands as a venture-backed startup, diligently cultivating strategic collaborations to proactively address critical safety imperatives and emerging autonomy needs across both civilian and military domains. Our distinguished team encompasses accomplished engineers, seasoned advisors, and experienced startup veterans, collectively driven by an overarching mission to change the way the world sees. 
 
As a Software Engineer Intern/Co-op at SoloPulse, you will play a critical role in the development of our software solutions. You will work on a wide range of tasks, from algorithm development to frontend-backend integration.
Responsibilities
  • Design, develop, test, and deploy software solutions using a variety of programming languages and technologies
  • Implement and maintain both frontend and backend components of our applications
  • Develop and optimize algorithms to solve complex problems
  • Engineer low-latency solutions to proprietary computational operations
  • Collaborate with cross-functional teams to understand and define software requirements
Qualifications
  • Must be pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering or related quantitative field from an accredited 4-year university
  • Proficiency in Python and C++
  • Familiarity with embedded and real-time systems programming
  • Knowledge of software architecture and design paradigms
  • Strong communication and teamwork skills
  • Willingness to take ownership of projects and work autonomously
Bonus Qualifications
  • A strong portfolio of personal software or hardware-related projects
  • Familiarity with the CUDA toolkit and associated programming practices
  • Familiarity with GPU-accelerated libraries such as PyTorch and OpenGL/ThreeJS
Join our team and be part of a dynamic, collaborative environment where innovation and creativity thrive. We offer competitive compensation and the opportunity to work on groundbreaking projects that will shape the future of radar technology. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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