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Temporary Ai Software Engineer Jobs in Georgia (NOW HIRING)

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 ...

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

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 ...

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 ...

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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Temporary Ai Software Engineer information

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.

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 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 Temporary Ai Software Engineer jobs? Cities in Georgia with the most Temporary Ai Software Engineer job openings:

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.

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