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Entry Level Ai Software Engineer Jobs in Georgia

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site

$100 - $140/hr

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale ...

New

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 ...

Asure Software

Associate Software Engineer

Atlanta, GA · On-site

How you will contribute As an Associate Software Engineer, you will work alongside experienced ... Leverage AI-powered development tools and automation technologies to improve productivity, code ...

Elevance Health

AI-Native Software Engineer

Atlanta, GA · On-site

$112K - $176K/yr

AI-Native Software Engineer AI-Native Software Engineer PLEASE NOTE: This position is not eligible for current or future visa sponsorship Location : This role requires associates to be in-office 3 ...

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Entry Level Ai Software Engineer information

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

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

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in Georgia? The most popular types of Ai Software Engineer jobs in Georgia are:
What are popular job titles related to Entry Level Ai Software Engineer jobs in Georgia? For Entry Level Ai Software Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Software Engineer jobs in Georgia look for? The top searched job categories for Entry Level Ai Software Engineer jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Ai Software Engineer jobs? Cities in Georgia with the most Entry Level Ai Software Engineer job openings:
Entry Level Ai Software Engineer jobs near you
Infographic showing various Entry Level Ai Software Engineer job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior AI Software Engineer

Third Eye Software

Atlanta, GA • On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale software delivery.

This is a W2 contract role with mostly remote work and occasional in-office collaboration. Candidates should be Metro Atlanta-based. No sponsorship available. No third-party recruiters.

Role Focus

This is a greenfield initiative that needs a strong problem solver first - someone who can work through ambiguity, anticipate issues, and turn early ideas into practical, scalable engineering solutions.

The ideal candidate has a strong traditional software engineering foundation, clear communication skills, mentoring ability, and hands‑on experience with modern AI‑enabled development. Initial work will focus heavily on building internal agents and agent‑oriented workflows, with broader enterprise context and AI enablement work evolving over time.

This person should understand the full SDLC, enterprise software delivery, CI/CD, and how to build AI capabilities that can move beyond prototype into real use.

Responsibilities
  • Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools
  • Solve ambiguous technical problems and help determine practical paths forward
  • Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and internal tooling
  • Improve engineering workflows, developer productivity, and SDLC automation
  • Build scalable backend services, APIs, and supporting platform components
  • Anticipate technical and operational challenges as solutions scale across engineering teamsCommunicate clearly with engineering, product, and platform stakeholders to move ideas from concept into production-ready solutions
  • Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled capabilities
  • Support practical patterns around observability, reliability, testing, CI/CD, and operational support for AI-enabled systems
Qualifications
  • Must be able to work on a W2 basis without sponsorship
  • Metro Atlanta-based
  • Strong problem‑solving skills and ability to work through ambiguous or evolving requirements
  • Strong software engineering background with distributed systems and microservices experience
  • Hands‑on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or similar LLM‑enabled engineering tools
  • Hands‑on experience building AI‑enabled workflows, agents, orchestration patterns, enterprise AI integrations, and context‑aware AI solutions.
  • Strong understanding of SDLC, CI/CD, production operations, and enterprise software delivery
  • Clear communication skills and ability to collaborate across technical and non‑technical teams
  • Experience mentoring or guiding other engineers through design, implementation, or delivery decisions
  • Experience with APIs, cloud platforms, data pipelines, and modern engineering tooling
Preferred
  • Experience with RAG, vector databases, embeddings, or context management patterns
  • Experience with developer tooling or SDLC automation
  • Experience with Kubernetes, cloud‑native platforms, or infrastructure automation
  • Experience supporting enterprise‑scale engineering organizations
Benefits
  • Comprehensive medical / dental / vision insurance options (50% employer‑paid premiums)
  • 401K option (after 1 year of employment)
  • Profit sharing
  • Professional development and training opportunities
  • Employer‑provided equipment

Third Eye Software is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

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