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Full Stack Ai Engineer Jobs in Hiram, GA (NOW HIRING)

... Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI ...

... Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI ...

Full Stack Engineer

Atlanta, GA ยท On-site

$110K/yr

Full Stack Engineer Location:- Atlanta, GA Salary $110K + Benefits Fulltime Overview: We are seeking a hands on Full Stack Engineer to join a team of 8 plus experienced full stack engineers ...

Sr Advanced AI Platform Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Full Stack Developer

Atlanta, GA ยท On-site

$69K - $158K/yr

Full Stack Developer The Opportunity: As a full-stack developer, you can resolve a problem with a ... Experience using AI-driven software development tools such as Copilot, Cursor, Codex, or Claude ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

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Showing results 1-20

Full Stack Ai Engineer information

See Hiram, GA salary details

$39.1K

$118.5K

$167.5K

How much do full stack ai engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full stack ai engineer in Hiram, GA is $118,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $138,900.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What job categories do people searching Full Stack Ai Engineer jobs in Hiram, GA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Hiram, GA are:

What cities near Hiram, GA are hiring for Full Stack Ai Engineer jobs?

Cities near Hiram, GA with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Hiram, GA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $118,477 per year, or $57 per hour.

AWS Full stack Developer

Atlanta, GA โ€ข On-site

Xoriant Corporation
IT Servicesย โ€ขย 1 - 5K employees

Other

Re-posted 11 days ago


Job description

Senior Software Engineer

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset โ€” including the ability to rapidly prototype using GenAI platforms to accelerate team output and

innovation.

WHAT YOU''''LL DO

AWS Cloud, Serverless & Microservices Architecture

  • Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack โ€” frontend, backend, and cloud infrastructure โ€” to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to:
  • Compute: Lambda, Step Functions
  • API, Auth & CDN: API Gateway, Cognito, CloudFront
  • Messaging & Events: SQS, SNS, EventBridge, Kinesis
  • Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose
  • Configuration: SSM Parameter Store
  • Observability: CloudWatch, X-Ray
  • IaC: CDK, SAM, CloudFormation
  • And more across the broader AWS ecosystem
  • Build and maintain scalable REST APIs using API Gateway and Lambda
  • Support cloud cost optimization, security posture, and performance tuning efforts
  • Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies
  • Ensure production readiness through observability, automated testing, and monitoring

Full-Stack, Microservices & Cross-Platform Development

  • Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend)
  • Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices
  • Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles
  • Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web
  • Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack

AI-Assisted Engineering & Rapid Prototyping

  • Rapidly prototype new product concepts using GenAI and LLM platforms
  • Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review
  • Evaluate AI-generated outputs for correctness, security, and production readiness
  • Follow team-level standards and best practices for AI tool adoption
  • Contribute to ideate โ†’ prototype โ†’ validate โ†’ ship cycles within fast-moving engineering teams

Collaboration & Mentorship

  • Participate in code reviews and contribute to engineering best practices
  • Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage
  • Promote a culture of quality, continuous improvement, and learning