ZipRecruiter

Log In

1

Trainee Ai Software Engineer Jobs in Georgia (NOW HIRING)

Relativity

Software Engineer

Atlanta, GA · On-site

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

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 ...

Elevance Health

AI-Native Software Engineer

Atlanta, GA

$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 ...

next page

Showing results 1-20

All JobsAi Software Engineer JobsTrainee Ai Software Engineer JobsTrainee Ai Software Engineer Jobs in Georgia

Trainee Ai Software Engineer information

What is the difference between Trainee Ai Software Engineer vs Junior Ai Developer?

AspectTrainee Ai Software EngineerJunior Ai Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldEntry-level, often with a degree or equivalent experience
Work EnvironmentTraining programs, mentorship, supervised projectsReal-world projects, team collaboration, task execution
Employer & Industry UsageInternships, training programs in tech companies, startupsTech companies, AI startups, research labs

The main difference is that a Trainee Ai Software Engineer is in a learning or training phase, focusing on gaining skills under supervision, while a Junior Ai Developer has more hands-on experience and is responsible for developing AI solutions independently within a team.

What are the key skills and qualifications needed to thrive as a trainee AI software engineer, and why are they important?

To thrive as a Trainee AI Software Engineer, you need a solid understanding of programming languages (such as Python or Java), foundational knowledge of algorithms, data structures, and basic principles of machine learning, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks and tools like TensorFlow, PyTorch, and version control systems such as Git is highly beneficial. Strong analytical thinking, problem-solving ability, and a willingness to learn help you adapt quickly and collaborate effectively on technical teams. These skills and qualities are crucial for successfully contributing to AI development projects and keeping pace with rapidly evolving technology.

What does a trainee AI software engineer do?

A Trainee AI Software Engineer is an entry-level professional who assists in designing, developing, and testing artificial intelligence models and applications. They often work under the supervision of senior engineers, learning to implement machine learning algorithms, process data, and contribute to AI projects. This role is ideal for those looking to gain practical experience while building a foundation in AI concepts and software engineering practices. Trainees also collaborate with other team members, participate in code reviews, and may assist in research or prototyping new AI solutions.

What are some common challenges faced by trainee AI software engineers, and how can they be addressed?

Trainee AI Software Engineers often encounter challenges such as understanding complex machine learning algorithms, adapting to rapidly evolving technologies, and bridging the gap between theoretical knowledge and practical implementation. To address these, it's helpful to actively seek mentorship from senior engineers, participate in code reviews, and dedicate time to hands-on projects or Kaggle competitions. Additionally, regularly collaborating with data scientists and software development teams can accelerate your learning and help you gain practical insights into real-world AI applications.
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 cities in Georgia are hiring for Trainee Ai Software Engineer jobs? Cities in Georgia with the most Trainee Ai Software Engineer job openings:
Trainee Ai Software Engineer jobs near you
Infographic showing various Trainee Ai Software Engineer job openings in Georgia as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 68% In-person, 13% Hybrid, and 19% Remote job distribution.

Senior AI Software Engineer

Third Eye Software

Atlanta, GA • On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago

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.

#J-18808-Ljbffr

Apply