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Junior Ai Developer Jobs in Georgia (NOW HIRING)

Understanding of prompt engineering, retrieval systems, and AI-powered workflows * Familiarity with automation platforms such as Make, n8n, or Zapier * Ability to translate business challenges into ...

AI Engineer

Atlanta, GA · On-site

$49.88 - $61.97/hr

The AI Engineer also mentors junior team members, promotes engineering best practices, and supports the adoption of responsible AI technologies across the organization. *Atlanta based position ...

New

AI Engineer

Atlanta, GA · On-site

$120 - $180/hr

The AI Engineer also mentors junior team members, promotes engineering best practices, and supports the adoption of responsible AI technologies across the organization. *Atlanta based position ...

New

The AI Engineer also mentors junior team members, promotes engineering best practices, and supports the adoption of responsible AI technologies across the organization. *Atlanta based position ...

The AI Engineer also mentors junior team members, promotes engineering best practices, and supports the adoption of responsible AI technologies across the organization. *Atlanta based position ...

The AI Engineer also mentors junior team members, promotes engineering best practices, and supports the adoption of responsible AI technologies across the organization. *Atlanta based position ...

... junior engineers and consultants, fostering a culture of innovation, technical excellence, and ... Stay current with emerging AI/ML technologies, frameworks, and tools, and evaluate their ...

Gen AI Engineer Atlanta GA Full time Job Summary We are seeking a highly skilled and motivated ... Experience mentoring junior colleagues and interns.

The Principal Automation & AI Engineer serves as the technical leader responsible for building the ... Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering ...

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Mentor, motivate, and coach junior members on technical best practices and inspire professional ... SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ...

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Mentor, motivate, and coach junior members on technical best practices and inspire professional ... SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ...

... AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success ... We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ...

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Junior Ai Developer information

See Georgia salary details

$20.3K

$75.1K

$116.1K

How much do junior ai developer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for junior ai developer in Georgia is $75,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $73,500.00 per year, depending on experience, location, and employer.

What is a junior AI developer?

A Junior AI Developer is an entry-level role focused on assisting in the development, testing, and deployment of AI models and applications. Responsibilities typically include data preprocessing, writing code for machine learning algorithms, optimizing models, and integrating AI solutions into products. They work closely with senior developers and data scientists to gain experience in AI frameworks, programming languages like Python, and cloud-based AI services.

What does a junior AI developer do?

As a Junior AI Developer, your daily tasks may include coding machine learning algorithms, prepping and cleaning datasets, assisting with running experiments, and documenting your work for team review. You'll likely collaborate closely with data scientists, senior developers, and project managers to ensure seamless integration of AI solutions into applications. Regular responsibilities also include participating in team meetings, troubleshooting bugs, and continuously learning about emerging AI trends and best practices. This hands-on experience helps deepen your technical skills, and working with experienced colleagues offers valuable mentorship and growth opportunities.

What are the key skills and qualifications needed to thrive as a junior AI developer?

To thrive as a Junior AI Developer, you need a solid understanding of programming languages such as Python or Java, fundamental knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and version control systems such as Git are commonly expected, and certifications in AI or data science are advantageous. Strong problem-solving abilities, attention to detail, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills are vital for building, testing, and improving AI models while collaborating productively within dynamic development teams.

What are the most commonly searched types of Ai Developer jobs in Georgia?

The most popular types of Ai Developer jobs in Georgia are:

What job categories do people searching Junior Ai Developer jobs in Georgia look for?

The top searched job categories for Junior Ai Developer jobs in Georgia are:

What cities in Georgia are hiring for Junior Ai Developer jobs?

Cities in Georgia with the most Junior Ai Developer job openings:

Infographic showing various Junior Ai Developer job openings in Georgia as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $75,129 per year, or $36.1 per hour.

Junior AI Engineer, Financial Services

Jobtailor

Atlanta, GA • On-site

$150 - $190/hr

Other

Posted 10 days ago


Job description

  • Add AI capabilities to existing full-stack applications, including LLM-powered features, workflows, and interfaces
  • Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer
  • Develop chunking and embedding strategies, retrieval-quality processes, and evaluations
  • Manage context windows and model inputs across text, documents, and images
  • Help design agentic workflows involving multi-step LLM pipelines, tool use, and orchestration
  • Prompt-engineer and evaluate LLM workflows
  • Write clean, testable services and data pipelines
  • Translate investment and operations workflow needs into concrete technical problems
  • Take sprint tasks directly within 90 days and contribute to active RAG or agentic workflow projects
  • Assume increasing ownership of a RAG or agentic workflow component and contribute to evaluation and testing pipelines within one year
  • Work closely with a Senior AI Engineer on a small embedded technology team
Requirements
  • Strong software engineering fundamentals in Node.js and TypeScript
  • Experience with REST APIs, async and promise-based concurrency, and testing frameworks such as Jest or Vitest
  • Everyday comfort with Git
  • Exposure to cloud infrastructure, ideally AWS
  • Exposure to AWS AI and LLM services such as Bedrock, Bedrock AgentCore, and Knowledge Bases for Bedrock
  • Practical experience with LLM APIs such as OpenAI, Anthropic, or similar
  • Experience with function calling, tool use, structured outputs, streaming responses, token usage, and context-window limits
  • Hands-on experience building a real LLM project, prototype, or shipped feature
  • Experience designing LLM-in-the-loop evaluation and testing pipelines
  • Experience with golden datasets, LLM-as-judge scoring, and regression tests for prompts and retrieval
  • Familiarity with tools such as promptfoo, Braintrust, or Ragas
  • Comfort using AI-native development tools such as Claude Code or Cursor
  • Ability to measure prompt, retrieval, and model changes using evaluation scores, latency, or cost-per-call metrics
  • Coachability and initiative
  • Clear communication with non-technical investment and operations professionals
  • Bonus: familiarity with Python, AWS Amplify, RAG mechanics, vector stores, hybrid search, reranking, agent/RAG frameworks, production AI features, data sensitivity, or MCP
Core Competencies

Demonstrates strong software engineering fundamentals with expertise in Node.js and TypeScript, alongside practical experience in developing and evaluating LLM workflows and retrieval-augmented generation systems. Capable of translating complex operational needs into technical solutions while effectively collaborating with cross-functional teams.

Highest-signal resume keywords
  • Node.js
  • TypeScript
  • LLM APIs
  • AWS AI Services
  • RAG Systems
ATS Optimization Keywords Hard Skills
  • Software Engineering Fundamentals
  • REST APIs
  • Async Programming
  • Testing Frameworks
  • Function Calling
  • Tool Use
  • Structured Outputs
  • Streaming Responses
  • Context-Window Management
  • Evaluation Metrics
Soft Skills
  • Coachability
  • Initiative
  • Clear Communication
Industry Keywords
  • Retrieval-Augmented Generation
  • LLM Workflows
  • Agentic Workflows
  • Golden Datasets
  • LLM-as-Judge Scoring
Tools & Technologies
  • Git
  • AWS
  • Promptfoo
  • Braintrust
  • Ragas
  • Claude Code
  • Cursor
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