AI Software Developer Jobs in Georgia
AI Software Developer jobs in Georgia are among the most actively recruited technology roles in the state, with strong demand from entry-level engineers through principal-level architects concentrated in enterprise software, financial technology, and logistics technology. Atlanta leads hiring alongside growing markets in Alpharetta and Savannah, where established employers such as NCR Voyix, Fiserv, and Cox Enterprises maintain significant engineering operations. The most in-demand specialties in Georgia are machine learning engineering, natural language processing, and applied AI for cloud-native platforms. Find a role that fits below and apply directly.
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This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.
We’re looking for a Principal AI-Native Software Engineer who can turn complex business needs into intelligent, production-ready software.
You’ll work at the intersection of software engineering, agentic AI, LLM-powered applications, and enterprise automation, partnering directly with business and technical stakeholders to move ideas rapidly from concept to production. You’ll build scalable Python services, APIs, agentic workflows, and integrations that enable intelligent automation across AT&T.
This is not simply an AI experimentation role. We’re looking for an engineer who knows how to combine emerging AI capabilities with proven software engineering practices to deliver solutions that are secure, reliable, observable, maintainable, and built for production.
What You'll Do:
- Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django.
- Create agentic AI workflows using LangGraph or similar frameworks, including tool calling, routing, planning and execution, multi-step workflows, and human-in-the-loop patterns.
- Partner directly with business and technical stakeholders in a collaborative 2-in-a-box model, translating ambiguous business challenges into technical designs and working solutions.
- Integrate AI applications securely with enterprise APIs, databases, event streams, service gateways, and other internal platforms.
- Design reliable tool and service contracts for AI agents, including schemas, validation, idempotency, retries, rate limits, error handling, and access controls.
- Develop evaluation strategies for AI and agentic systems, including success criteria, regression testing, prompt/tool validation, guardrails, and release gates.
- Implement RAG, vector search, context engineering, structured outputs, and grounding techniques when appropriate to improve accuracy and usability.
- Build end-to-end solutions across backend services, databases, and front-end experiences using technologies such as Angular and other modern web frameworks.
- Apply secure-by-design practices including authentication, authorization, secrets management, least privilege, auditability, input validation, and PII-aware data handling.
- Build production observability with logging, metrics, distributed tracing, dashboards, alerting, and incident troubleshooting.
- Implement automated testing, CI/CD, Docker-based deployment, and resilient distributed-system patterns including retries, timeouts, circuit breakers, backpressure, and graceful degradation.
- Use AI coding assistants throughout the engineering lifecycle for code generation, refactoring, testing, debugging, and documentation while maintaining rigorous engineering standards.
What You'll Bring:
- A builder mindset with the ability to move quickly from an ambiguous business problem to a working technical solution.
- Strong understanding of AI-native software development, including how and where LLMs and agentic workflows provide meaningful value.
- Hands-on experience developing applications that use LLMs, structured prompting, function/tool calling, output validation, and grounding.
- Ability to build agentic solutions that go beyond simple chat interfaces and execute multi-step workflows, use tools, interact with systems, and manage state.
- Strong knowledge of software architecture, system design, API design, data modeling, distributed systems, and integration patterns.
- Experience designing software for production realities including security, scalability, resiliency, observability, maintainability, and operational support.
- Strong communication skills and the ability to explain technical decisions and tradeoffs to both engineering and non-technical business partners.
- An AI-augmented engineering approach, using modern AI development tools to accelerate delivery without sacrificing software quality.
What You'll Need:
8+ years of professional software engineering experience building and delivering production applications or services.
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, a related technical discipline, or equivalent practical experience.
- Strong Python development experience, ideally with FastAPI, Flask, or Django.
- Hands-on experience designing and developing REST APIs and backend/microservice architectures.
- Experience integrating applications with enterprise platforms, databases, APIs, or distributed systems.
- Strong knowledge of SQL and relational databases; NoSQL/document database experience is beneficial.
- Experience with unit testing, integration testing, automated testing, CI/CD, code review, and refactoring.
- Experience with Docker and deployment into cloud or enterprise environments.
- Working knowledge of production monitoring using structured logging, metrics, tracing, performance analysis, and incident troubleshooting.
- Understanding of secure API development, authentication/authorization, secrets management, least privilege, and audit logging.
- Hands-on experience integrating LLMs or Generative AI capabilities into software applications.
- Experience with tool/function calling, structured prompting, output validation, RAG, retrieval, or other grounding techniques.
- Demonstrated use of AI coding assistants as part of the software development lifecycle.
Preferred Qualifications:
- Hands-on experience with LangGraph or comparable agent orchestration frameworks.
- Experience designing multi-agent or multi-step agentic workflows.
- Experience with Temporal, Celery, Airflow, or other workflow/orchestration technologies.
- Knowledge of event-driven architectures using Kafka, SNS/SQS, Pub/Sub, or comparable technologies.
- Experience implementing RAG, embeddings, semantic/vector search, and vector databases in production environments.
- Experience with OAuth 2.0, OIDC, API gateways, or service mesh technologies.
- Experience developing reusable SDKs, internal developer platforms, AI tool libraries, or reference architectures.
- Experience with Angular or another modern JavaScript/TypeScript front-end framework.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40Time Type:
RegularLocation:
Alpharetta, Georgia, Atlanta, Georgia, Bothell, Washington, Dallas, Texas, Middletown, New Jersey, Plano, TexasSalary Range:
$155,400.00 - $261,100.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.
We’re looking for a Principal AI-Native Software Engineer who can turn complex business needs into intelligent, production-ready software.
You’ll work at the intersection of software engineering, agentic AI, LLM-powered applications, and enterprise automation, partnering directly with business and technical stakeholders to move ideas rapidly from concept to production. You’ll build scalable Python services, APIs, agentic workflows, and integrations that enable intelligent automation across AT&T.
This is not simply an AI experimentation role. We’re looking for an engineer who knows how to combine emerging AI capabilities with proven software engineering practices to deliver solutions that are secure, reliable, observable, maintainable, and built for production.
What You'll Do:
- Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django.
- Create agentic AI workflows using LangGraph or similar frameworks, including tool calling, routing, planning and execution, multi-step workflows, and human-in-the-loop patterns.
- Partner directly with business and technical stakeholders in a collaborative 2-in-a-box model, translating ambiguous business challenges into technical designs and working solutions.
- Integrate AI applications securely with enterprise APIs, databases, event streams, service gateways, and other internal platforms.
- Design reliable tool and service contracts for AI agents, including schemas, validation, idempotency, retries, rate limits, error handling, and access controls.
- Develop evaluation strategies for AI and agentic systems, including success criteria, regression testing, prompt/tool validation, guardrails, and release gates.
- Implement RAG, vector search, context engineering, structured outputs, and grounding techniques when appropriate to improve accuracy and usability.
- Build end-to-end solutions across backend services, databases, and front-end experiences using technologies such as Angular and other modern web frameworks.
- Apply secure-by-design practices including authentication, authorization, secrets management, least privilege, auditability, input validation, and PII-aware data handling.
- Build production observability with logging, metrics, distributed tracing, dashboards, alerting, and incident troubleshooting.
- Implement automated testing, CI/CD, Docker-based deployment, and resilient distributed-system patterns including retries, timeouts, circuit breakers, backpressure, and graceful degradation.
- Use AI coding assistants throughout the engineering lifecycle for code generation, refactoring, testing, debugging, and documentation while maintaining rigorous engineering standards.
What You'll Bring:
- A builder mindset with the ability to move quickly from an ambiguous business problem to a working technical solution.
- Strong understanding of AI-native software development, including how and where LLMs and agentic workflows provide meaningful value.
- Hands-on experience developing applications that use LLMs, structured prompting, function/tool calling, output validation, and grounding.
- Ability to build agentic solutions that go beyond simple chat interfaces and execute multi-step workflows, use tools, interact with systems, and manage state.
- Strong knowledge of software architecture, system design, API design, data modeling, distributed systems, and integration patterns.
- Experience designing software for production realities including security, scalability, resiliency, observability, maintainability, and operational support.
- Strong communication skills and the ability to explain technical decisions and tradeoffs to both engineering and non-technical business partners.
- An AI-augmented engineering approach, using modern AI development tools to accelerate delivery without sacrificing software quality.
What You'll Need:
8+ years of professional software engineering experience building and delivering production applications or services.
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, a related technical discipline, or equivalent practical experience.
- Strong Python development experience, ideally with FastAPI, Flask, or Django.
- Hands-on experience designing and developing REST APIs and backend/microservice architectures.
- Experience integrating applications with enterprise platforms, databases, APIs, or distributed systems.
- Strong knowledge of SQL and relational databases; NoSQL/document database experience is beneficial.
- Experience with unit testing, integration testing, automated testing, CI/CD, code review, and refactoring.
- Experience with Docker and deployment into cloud or enterprise environments.
- Working knowledge of production monitoring using structured logging, metrics, tracing, performance analysis, and incident troubleshooting.
- Understanding of secure API development, authentication/authorization, secrets management, least privilege, and audit logging.
- Hands-on experience integrating LLMs or Generative AI capabilities into software applications.
- Experience with tool/function calling, structured prompting, output validation, RAG, retrieval, or other grounding techniques.
- Demonstrated use of AI coding assistants as part of the software development lifecycle.
Preferred Qualifications:
- Hands-on experience with LangGraph or comparable agent orchestration frameworks.
- Experience designing multi-agent or multi-step agentic workflows.
- Experience with Temporal, Celery, Airflow, or other workflow/orchestration technologies.
- Knowledge of event-driven architectures using Kafka, SNS/SQS, Pub/Sub, or comparable technologies.
- Experience implementing RAG, embeddings, semantic/vector search, and vector databases in production environments.
- Experience with OAuth 2.0, OIDC, API gateways, or service mesh technologies.
- Experience developing reusable SDKs, internal developer platforms, AI tool libraries, or reference architectures.
- Experience with Angular or another modern JavaScript/TypeScript front-end framework.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40Time Type:
RegularLocation:
Alpharetta, Georgia, Atlanta, Georgia, Bothell, Washington, Dallas, Texas, Middletown, New Jersey, Plano, TexasSalary Range:
$155,400.00 - $261,100.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
See All 37 AI Software Developer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
AI Software Developer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Georgia Employers Look For
The qualifications that appear most often in AI software developer jobs across Georgia.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms, particularly Google Cloud, AWS, or Microsoft Azure
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Experience with MLOps practices including model versioning, monitoring, and CI/CD integration
AI Software Developer Jobs in Georgia: Frequently Asked Questions
How do you become a ai software developer in Georgia?
Most ai software developers in Georgia enter the field through a bachelor's degree in computer science, data science, or a related discipline, followed by practical project experience with machine learning frameworks. Georgia does not require a state-issued license to work as an ai software developer. Employers in Atlanta's technology corridor typically look for candidates with demonstrated model-building portfolios, contributions to open-source ML projects, or completion of graduate coursework at Georgia Tech or Georgia State University.
How much do AI software developers make in Georgia?
AI software developers in Georgia earn a median of about $131,010 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,110 for the lowest 10% to over $176,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai software developers in Georgia?
Employers hiring ai software developers in Georgia right now include Capgemini, Mastercard, and The Home Depot, based on current listings on Migrate Mate as of November 2026. Georgia's concentration of financial technology firms, telecommunications companies, and enterprise software headquarters means demand runs across multiple industries rather than a single sector.
Which Georgia cities have the most ai software developer jobs?
Atlanta, Warner Robins, and Georgia have the most ai software developer openings in Georgia. Atlanta anchors the market as the state's dominant technology hub, home to major enterprise and fintech employers, while Alpharetta's technology corridor drives significant demand from mid-size software and data companies, and Savannah has seen growing engineering investment tied to logistics technology and port-related operations.
Are there remote ai software developer jobs in Georgia?
Yes, and more than most fields. About 88% of ai software developer openings tied to Georgia are remote or hybrid as of November 2026, reflecting how well the work translates to distributed teams. Model research, experimentation, and data pipeline development are the tasks most commonly performed fully remote, while roles involving proprietary enterprise data or regulated financial systems tend to require at least some on-site presence.
How can I get hired as a ai software developer in Georgia with little or no experience?
The most realistic entry path is through a data analyst or software engineering role at a Georgia company that has an internal AI team, then transitioning after demonstrating ML project work. Cox Enterprises and NCR Voyix have historically run associate engineering programs that accept recent graduates. Building a public portfolio of machine learning projects on GitHub, completing Georgia Tech's online machine learning courses, and targeting junior ML engineer or AI associate titles gives candidates the strongest foundation without prior industry experience.
Where can I find and apply to ai software developer jobs in Georgia?
You can find and apply to ai software developer jobs in Georgia on Migrate Mate, which lists current Georgia openings updated regularly. Find the roles that fit your background and apply directly to the employers posting them.
See All 37 AI Software Developer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI Software Developer Jobs