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Rag Developer Jobs in Georgia (NOW HIRING)

Onsite It Advisors LLC

Be Seen First

AI/ML Engineer

Atlanta, GA · On-site

$135K - $175K/yr

... RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help ... feature engineering workflows, and large-scale data processing solutions using Python, SQL, and ...

New

Capgemini

Senior Web Developer

Atlanta, GA · On-site

They are hiring a Senior Web Developer who will be responsible for building modern web applications ... RAG pipelines • Familiarity with agentic concepts (planner/executor patterns, tool routing ...

Caresoft Inc.

Sr. Data Engineer

Atlanta, GA · On-site

$62 - $66/hr

Familiarity with LangGraph and RAG DB concepts. Understanding of ETL/ELT pipelines and data warehousing concepts. Nice to have: Knowledge of CI/CD automation with Azure DevOps. Familiarity with data ...

Capgemini

Senior Mobile Developer

Atlanta, GA · On-site

OpenAI APIs and/or similar LLM platforms (e.g., Claude), Prompt engineering, RAG pipelines, or agentic frameworks • Exposure to: Agent orchestration, tool calling, and context management, AI ...

Conflux Systems

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... RAG DB (for advanced data workflows) Qualifications • Bachelor's degree in computer science ... Preferred • Knowledge of CI/CD automation with Azure DevOps. • Familiarity with data governance ...

InfiCare

AI Engineer

Milton, GA · On-site

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode ... Develop retrieval and grounding approaches (e.g., RAG) to ensure responses are based on approved ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What are popular job titles related to Rag Developer jobs in Georgia? For Rag Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Georgia look for? The top searched job categories for Rag Developer jobs in Georgia are:
What cities in Georgia are hiring for Rag Developer jobs? Cities in Georgia with the most Rag Developer job openings:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Georgia as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

AI/ML Engineer

Onsite It Advisors LLC

Atlanta, GA • On-site

$135K - $175K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.


You'll contribute to building and scaling intelligent systems from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.

Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.

Core Responsibilities:

• Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
• Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
• Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL, and Spark.
• Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
• Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

You Have:

• 3+ years of experience designing, developing, and deploying machine learning models.
• 3+ years of experience with Generative AI, LLMs, or RAG applications.
• 4+ years of hands-on experience with Python for ML and data engineering.
• Experience with SQL for data manipulation and feature engineering.
• Experience with big data tools such as Apache Spark.
• Experience with Databricks and MLOps tools like MLflow.
• Experience with cloud platforms, preferably Microsoft Azure.
• Ability to exhibit strong communication and customer-facing skills.
• Ability to thrive both independently and in cross-functional teams.
• Ability to problem solve and stay current with emerging ML trends.

Nice If You Have:

• Experience with full-stack development or deploying end-to-end ML applications.
• Experience with chatbot development or conversational AI.
• Experience fine-tuning large language models.
• Experience deploying ML solutions using MLOps pipelines.
• Knowledge of Agile workflows and tools such as JIRA.
• Previous CDC experience.
• Microsoft Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), or similar AI/ML certifications.

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. Government client.