ZipRecruiter

Log In

1

Ai Application Developer Jobs in Georgia (NOW HIRING)

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

About the Role As a Senior AI Engineer, you will work directly with clients to design, build ... Develop backend services, APIs, and application architectures that integrate AI capabilities into ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · Remote

$100K - $138K/yr

About the Role As a Senior AI Engineer, you will work directly with clients to design, build ... Develop backend services, APIs, and application architectures that integrate AI capabilities into ...

KR Elixir, Inc.

UiPath Developer

Atlanta, GA · On-site

Experience with AI application development, including: Building AI agents (Agentic AI architecture) Integrating LLMs into workflows Prompt engineering and model interaction design Spec Driven ...

Southern Company

Developer II, Application

Atlanta, GA · On-site

Application Development Company: SCS Supervisor: Manager, Product Delivery Location: A nywhere in ... AI Knowledge & Mindset: * The developer is expected to bring an AI-native mindset defaulting to AI ...

Booz Allen Hamilton

AI/ML Evaluation Engineer

Atlanta, GA · On-site

$79K - $105K/yr

R0243409 AI/ML Evaluation Engineer The Opportunity: As an experience d engineer, you know that ... Experience with conversational AI, chatbot systems, or full-stack AI application development

C3 AI

Forward Deployed Team Lead

Atlanta, GA · On-site

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of ... Qualifications * BS/MS in Computer Science, Software Engineering, Engineering, or equivalent ...

next page

Showing results 1-20

All JobsAi Application Developer JobsAi Application Developer Jobs in Georgia

Ai Application Developer information

See Georgia salary details

$14

$44

$71

How much do ai application developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for ai application developer in Georgia is $44.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.72 and $51.15 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the salary of an AI developer?

The salary of an AI application developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI application developer or AI research director, often offering top-tier compensation due to expertise, experience, and the complexity of projects. These roles may require advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch, along with relevant certifications and a strong professional track record.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Georgia? For Ai Application Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Georgia look for? The top searched job categories for Ai Application Developer jobs in Georgia are:
What cities in Georgia are hiring for Ai Application Developer jobs? Cities in Georgia with the most Ai Application Developer job openings:
Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Georgia as of July 2026, with employment types broken down into 74% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $92,452 per year, or $44.4 per hour.
Senior AI Engineer 2026 - US

Senior AI Engineer 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

$100K - $138K/yr

Full-time

Posted 16 days ago

Job description

Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.
We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production.
We believe successful AI initiatives require much more than prompting an LLM. They require strong software engineering, scalable architecture, reliable deployment, thoughtful evaluation, and disciplined engineering practices.
About the Role
As a Senior AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value.
You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization.
What You Will Do
  • Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows
  • Translate business problems into scalable technical solutions using modern AI engineering best practices
  • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems
  • Build multi-agent systems, AI agents, workflow automation, and decision-support systems
  • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance
  • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications
  • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders
  • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring
  • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice
  • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

What We Are Looking For
We are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration.
You understand that successful AI systems require excellent engineering, not just excellent models.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
  • 3+ years of professional software engineering experience building production applications
  • 1+ years designing and deploying AI or machine learning solutions into production
  • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages
  • Experience building scalable backend systems, APIs, or distributed applications.
  • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions
  • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance
  • Experience with MLOps, LLMOps, or production deployment pipelines
  • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
  • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses
  • Experience integrating AI applications with enterprise data sources, APIs, and business systems
  • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies
  • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
  • Ability to independently own technical workstreams while collaborating across multidisciplinary teams

Preferred Qualifications
One or more of the following is a plus:
  • Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, and Express
  • Experience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications
  • Experience designing distributed systems, concurrency, or high-scale cloud applications
  • Experience deploying AI solutions serving 1000+ users
  • Consulting experience or experience working directly with enterprise customers
  • Experience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applications
  • Experience pre-training or fine-tuning LLMs

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

Apply