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Ai Content Engineer Jobs in Georgia (NOW HIRING)

Content Developer - Retail

Atlanta, GA ยท On-site

$116K - $121K/yr

RaceTrac Company Overview The Content Developer is the production and craft lead within the L&D ... Stay current on emerging content development tools, techniques, and trends - including AI-assisted ...

Content Developer

Atlanta, GA ยท On-site

$118K - $123K/yr

Job#: 3046640 Video Content Developer Location: Occasional onsite in Atlanta, Georgia or Birmingham ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Lead Content Strategist

Alpharetta, GA ยท On-site

$120 - $180/hr

Content Engineering * Platform leaders and owners * Product teams * Business unit knowledge teams * Analytics teams * AI and GenAI program teams * Ensure business priorities, content strategies and ...

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Content Engineering * Platform leaders and owners * Product teams * Business unit knowledge teams * Analytics teams * AI and GenAI program teams * Ensure business priorities, content strategies, and ...

Content Engineering * Platform leaders and owners * Product teams * Business unit knowledge teams * Analytics teams * AI and GenAI program teams * Ensure business priorities, content strategies, and ...

In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required--your ...

Training Content Developer II Location: Birmingham, Alabama or Atlanta, GA (3-4 days a month onsite ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

This role leverages AI-assisted content workflows and data-driven insights to scale high-performing ... Partner with a technical web developer contractor to: * Implement updates and enhancements

AI Engineer

Milton, GA ยท On-site

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode ... Familiarity with search/retrieval systems, ranking, and content chunking/embedding strategies.

You do not need to be an AI engineer. We care much more about whether you can creatively use AI tools to produce content people actually want to watch. The Person We're Looking For You probably spend ...

You'll collaborate closely with product, engineering, legal, and research partners to design ... Recent hands-on experience designing generative AI content, interactions, and immersive chat ...

Staff Applied AI Engineer - Pre-Sales San Francisco, CA (Hybrid); United States (Remote) At Snorkel ... Experience estimating scope and producing technical content for proposals and Statements of Work.

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AI Engineer

Atlanta, GA ยท On-site

$50 - $55/hr

Engineer prompts and contextual workflows to improve LLM response quality and relevance ... Build intelligent solutions for transcript processing, summarization, content generation, and AI ...

AI Data Science Expert - Remote

Atlanta, GA ยท Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

AI Engineer

Atlanta, GA ยท On-site

$55 - $60/hr

Build intelligent solutions for transcript processing, summarization, content generation, and AI ... Prompt Engineering. * HTML5. * CSS3. Qualification And Education: * Bachelor's or Master's degree ...

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Showing results 1-20

Ai Content Engineer information

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

Is AI Content Engineer still in demand?

AI Content Engineers are in high demand as organizations seek professionals skilled in developing and managing AI-driven content systems. The role requires knowledge of machine learning, natural language processing, and content management tools, with job growth expected to continue as AI integration expands across industries.

What are popular job titles related to Ai Content Engineer jobs in Georgia?

For Ai Content Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Content Engineer jobs in Georgia look for?

The top searched job categories for Ai Content Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ai Content Engineer jobs?

Cities in Georgia with the most Ai Content Engineer job openings:

Infographic showing various Ai Content Engineer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Software Engineer, Full-Stack

Markup AI

Atlanta, GA โ€ข On-site

Full-time

Posted 7 days ago


Job description

About Markup AI

Markup AI is pioneering the AI content governance category with the industry's first Content Guardian Agents™—AI-powered agents that automatically scan, score, and rewrite content to ensure it meets brand, compliance, terminology, and quality standards before it goes live. Purpose-built for AI-first marketing and content teams, Markup AI integrates directly into LLMs, CMS platforms, and enterprise workflows through its API- and MCP-first architecture, giving organizations the confidence to scale AI-generated content without sacrificing quality, consistency, or trust. Backed by decades of expertise in enterprise content governance, Markup AI is helping leading global brands publish faster, safer, and with confidence.

Eligible candidates must reside in one of the following states: Florida, Georgia, Indiana, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, Texas

About the Role

We're looking for a Senior Software Engineer to own product capabilities from the data model to the final interaction.

This is a frontend-leaning full-stack role: roughly 70% TypeScript and React and 30% Python and backend work, varying by project. A typical feature starts with a database query or API contract and ends as a polished experience in production. The team's scope includes organization and user management, permissions and SSO, reporting and analytics, self-serve onboarding, our shared design system, and integrations with Google Docs and Word Online through our Chrome extension.

The work combines traditional enterprise product engineering with unusually difficult browser and document problems. Our product must remain dependable while AI results arrive incrementally, enterprise permission models evolve, and third-party applications change underneath our integrations.

What You'll Own

  • Lead substantial product features from discovery and technical design through implementation, rollout, instrumentation, and iteration.
  • Build complex, responsive product experiences with React, TypeScript, Next.js, and TanStack Query.
  • Design the endpoints, data models, queries, and migrations that support those experiences.
  • Evolve our Chrome extension and document integrations across Google Docs, Word Online, and other enterprise authoring environments.
  • Improve our shared design system while treating accessibility, keyboard behavior, and focus management as product requirements.
  • Build interfaces for asynchronous and LLM-powered workflows, including streaming results, partial failures, retries, and long-running operations.
  • Maintain strong automated coverage with Vitest, Testing Library, and Playwright, including end-to-end tests against third-party applications.
  • Use instrumentation and evidence to diagnose production behavior, including failures caused by upstream applications we do not control.
  • Write concise design documents or ADRs when a decision affects multiple systems, packages, or teams.
  • Raise the engineering bar through thoughtful reviews, pairing, and improvements to shared foundations.

What You Bring

  • Deep experience building production applications with React and TypeScript. This will often mean six or more years in professional software development, but demonstrated scope, judgment, and ownership matter more than a precise number.
  • Strict TypeScript habits and clear, well-reasoned views about component boundaries, state, data flow, and API design.
  • Experience with client data layers, including cache-key design, invalidation, optimistic updates, and failure recovery.
  • A history of shipping features across the stack. You can explain how you designed a schema, exposed the right API, built the interface, and operated the service in production.
  • Experience building enterprise software involving multi-tenancy, roles and permissions, administration, organization-level settings, onboarding, or customer reporting.
  • Strong testing habits and experience treating accessibility as part of implementation rather than a later audit.
  • Strong debugging abilities: working with traces, logs, product analytics, and debugging in third party applications.
  • The ability to scope ambiguous work, communicate tradeoffs, and take responsibility for quality after launch.

What Would Be Cool To Have

You do not need experience with items in this section. If you don't, you'll learn them on the job!

  • Building backend Python FastAPI APIs
  • Streaming or SSE interfaces for AI products, including latency, partial results, retries, and non-deterministic output.
  • Temporal or another distributed workflow system, including activities, determinism, retries, timeouts, and task queues.
  • ClickHouse or customer-facing analytics data visualization.

How We Work

We hold a high bar for correctness: strict types, zero-error static analysis, test-first development, accessible interactions, and clear technical decisions. Senior engineers are expected to own outcomes, collaborate closely across product and design, and leave shared systems stronger than they found them.

If this work excites you and you meet most of the core qualifications, we encourage you to apply even if you do not match every preferred technology or domain.