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Entry Level Ai Software Engineer Jobs in Georgia

As a Software Engineer, you will contribute to both strategic business initiatives and ... Leverage AI-assisted development tools such as GitHub Copilot, OpenCode, and Codex to improve ...

Software Engineer

Dunwoody, GA ยท On-site +1

$89K - $168K/yr

Role Overview The Software Engineer is responsible for designing, developing, testing, and ... AI agent development Additional Competencies * Strong understanding of coding best practices , UI ...

Software Engineer

Dunwoody, GA ยท On-site +1

$89K - $168K/yr

Role Overview The Software Engineer is responsible for designing, developing, testing, and ... AI agent development Additional Competencies * Strong understanding of coding best practices , UI ...

Software Engineer

Dunwoody, GA ยท On-site

$89K - $168K/yr

Role Overview The Software Engineer is responsible for designing, developing, testing, and ... AI agent development Additional Competencies * Strong understanding of coding best practices , UI ...

Support user-facing statistics and AI-based quality analysis systems, including software ... Bachelor's in Computer Engineering or Industrial Engineering preferred, though relevant experience ...

Support user-facing statistics and AI-based quality analysis systems, including software ... Bachelor's in Computer Engineering or Industrial Engineering preferred, though relevant experience ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

University - Software Engineer

Atlanta, GA ยท On-site

$112K - $257K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Engineer II

Atlanta, GA ยท 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 ...

University - Software Engineer

Atlanta, GA ยท On-site

$53K - $108K/yr

University - Software Engineer The Opportunity: Are you looking for an opportunity to not just ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Showing results 21-40

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 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:
Infographic showing various Entry Level Ai Software Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Engineer (AI-Native)

European Service Center

Roswell, GA โ€ข On-site

$75K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

This Is Not a Remote Position.
Software development is changing faster than most companies are willing to admit.
We believe the future belongs to engineers who can direct AI systems, evaluate their output, and make good decisions at speed.
The era of measuring engineering value by lines of code written is ending. The bottleneck is no longer typing. The bottleneck is judgment.
AI can generate thousands of lines of code before lunch.
The hard part is knowing what should be built, recognizing when generated code is wrong, and making architectural decisions that still look intelligent six months later.
That's the job.
What We're Building:
  • We're building a closed-loop operating system for the automotive service industry.
  • Shop management.
  • Accounts payable automation.
  • Document reconciliation.
  • Accounting.
  • Payroll.

Every system shares information. Every workflow feeds another workflow. Every decision should make the platform more intelligent.
We're not building disconnected products. We're building a system.
Our stack includes Rust, Go, Python, React, and AI agent workflows.
We use agentic development extensively. You will spend far more time directing, reviewing, validating, and improving generated code than manually writing it.
If that sounds uncomfortable, this is probably not the right role.
If that sounds exciting, keep reading.
What You'll Actually Do:
  • Work directly with the CTO.
  • No management layers.
  • No committee meetings.
  • No product managers translating requirements through three levels of abstraction.
  • Just real problems and the responsibility to solve them.
You will:
  • Build backend services and processing systems in Go, Rust, and Python.
  • Design workflows that allow AI agents to reconcile documents and financial records with minimal human intervention.
  • Build interfaces that give business owners visibility into their operations.
  • Review, challenge, and improve AI-generated implementations.
  • Make architectural decisions that affect the long-term direction of the platform.
  • Own problems from concept to production.
Some days you'll design systems.
Some days you'll review thousands of lines of generated code.
Some days you'll discover that the real problem isn't the one anyone thought they were solving.
That's normal.
Who Thrives Here:
  • You probably have somewhere between a few and ten years of serious engineering experience.
  • You have shipped real things.
  • Not tickets.
  • Not isolated features.
  • Products, systems, businesses, tools, platforms, or infrastructure that people actually depended on.
  • You are comfortable learning whatever technology a problem requires.
  • You don't need someone to tell you exactly what to do next.
  • You care about whether a system is correct more than whether it is clever.
  • You understand that generated code is not automatically good code.
  • You can evaluate tradeoffs.
  • You can explain your reasoning.
  • You can change your mind when new information appears.
Most importantly:
You are excited by the idea that one disciplined engineer equipped with modern AI tooling can now accomplish what once required an entire team.
Who Probably Won't Enjoy This:
  • People looking for highly structured environments.
  • People who need detailed specifications before starting.
  • People who want every technical decision reviewed by a committee.
    People who believe AI-generated code is worthless.
  • People who believe AI-generated code should be accepted without scrutiny.
  • People who measure engineering quality by how many hours were spent typing code manually.
Compensation:
  • We'll be direct.
  • Cash compensation is below what larger companies can offer.
  • Equity is a meaningful part of the package.
  • If the company succeeds, your participation should matter in a real way.
Benefits include:
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) with company match.
  • Paid vacation.
  • Paid holidays.
How To Apply:
  • Do not send a cover letter.
  • Do not spend time formatting a resume.
  • Show us something you built.
  • Something you owned.
  • Something where the decisions were yours.
Tell us:
  • What problem you were solving.
  • Why you approached it the way you did.
  • What tradeoffs you made.
  • What you would do differently today.
If there is a project you've worked on that other people never fully appreciated, start there.