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Ai Application Developer Jobs in Georgia (NOW HIRING)

Nasdaq

Senior AI Application Engineer (.NET)

Atlanta, GA · On-site

$117K - $155K/yr

We're looking for a Senior AI Engineer with a .NET backgound to design and deliver secure, scalable applications that bring modern AI into enterprise environments. In this role, you'll apply ...

Vibotek LLC

Agentic AI Developer

Atlanta, GA · On-site

... application teams to embed AI agents into business platforms • Optimize AI solutions for ... engineering, and model APIs • Hands-on experience with RAG pipelines, vector databases, and ...

HMG America

ServiceNow Developer with Python

Atlanta, GA · On-site

$52 - $71.50/hr

ServiceNow Certified Application Developer (CAD) with 2+ years of hands-on experience developing ... Experience with AI-assisted development tools (GitHub Copilot, ServiceNow AI tools, GenAI coding ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

... AI Engineer roles ... Strong experience in Java-based enterprise application development. * Hands-on expertise in ...

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 · 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 ...

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Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Aug 31, 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 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 skills and qualifications are needed to thrive as an AI application developer?

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 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.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

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 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 August 2026, with employment types broken down into 70% Full Time, 18% Part Time, 9% Contract, and 3% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $92,452 per year, or $44.4 per hour.

Senior AI Application Engineer (.NET)

Atlanta, GA • On-site

Nasdaq
Finance and Insurance • 1 - 5K employees
Learn more about Nasdaqexternal

$117K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

We're looking for a Senior AI Engineer with a .NET backgound to design and deliver secure, scalable applications that bring modern AI into enterprise environments.
In this role, you'll apply technologies like LLMs, RAG, vector search, and agentic workflows to improve search, automation, and decision-making across the business. This is a hands-on role focused on applying modern AI capabilities in practical ways, not building or training foundational models from scratch. We're looking for someone who can turn AI into useful products, workflows, and internal capabilities that are secure, scalable, and ready for production while maintaining a .NET backgound.
You'll fit right in if you're a hands-on engineer who enjoys turning emerging AI capabilities into practical, production-grade software. You're curious, collaborative, and comfortable working across experimentation, system design, and delivery. You know how to pair strong software fundamentals with modern AI tools to build secure, scalable solutions that solve real business problems.
Key Responsibilities
  • Design and build AI-powered applications that use LLMs to improve user workflows, search, automation, and decision support.

  • Develop and optimize RAG-based solutions using enterprise data, embeddings, and vector search to enable relevant, context-aware experiences.

  • Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering, guardrails, and safety controls that improve quality and reliability.

  • Build conversational and agentic experiences that coordinate tools, functions, and multi-step reasoning, including MCP tools, functions, and server integrations.

  • Partner with product, architecture, and engineering teams to deliver scalable, maintainable AI systems and establish strong evaluation, observability, and monitoring practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
  • Strong programming and system design skills in .NET or Java with experience building APIs and cloud-native backend services.

  • 5+ years of software engineering experience, including proven experience building AI or LLM-enabled applications in production environments.

  • Strong hands-on experience with RAG architectures, embeddings, vector databases, semantic search, and cloud AI platforms such as AWS Bedrock or equivalent.

  • Experience designing agentic workflows, integrating MCP tools and servers, and building AI experiences for chat or conversational user interfaces.

Preferred Qualifications
  • Experience building AI solutions in enterprise, fintech, or other regulated environments.

  • Familiarity with frameworks such as Semantic Kernel, LangChain, LangGraph, Microsoft Agent Framework, or similar orchestration frameworks.

  • Experience evaluating and operating AI systems in production, including grounding, relevance, latency, safety, observability, and reusable platform capabilities.

This position will be located in Atlanta, Georgia and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
What We Offer
We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.
In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq's programs and rewards are intended to allow our employees to:
  • Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
  • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page

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