ZipRecruiter

Log In

1

Ai Rag Jobs in Atlanta, GA (NOW HIRING)

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 ...

Nasdaq

AI Engineer

Atlanta, GA · On-site

We're looking for an AI Engineer to design and deliver secure, scalable applications that bring ... In this role, you'll apply technologies like LLMs, RAG, vector search, and agentic workflows to ...

Northern Base

AI and Fabric Engineer

Atlanta, GA · On-site

$110K - $130K/yr

Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, * prompt engineering, grounding, and hallucination mitigation. * Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory ...

New

RIT Solutions, Inc.

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... RAG pipelines over enterprise data using embeddings and vector databases • Build multi-step, tool ... Integrate AI systems with APIs, backend services, and cloud platforms • Establish evaluation ...

AT&T

Director-Technology - Salesforce

Alpharetta, GA · Hybrid

$188K - $316K/yr

Hands-on knowledge of Generative AI, RAG, MCP, and predictive analytics applications * Experience handling high-volume, real-time data processing environments * Salesforce Certified Application ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. * Design AI orchestration workflows using frameworks such as LangChain ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain ...

North Highland

Consultant AI & Data Engineer

Atlanta, GA · On-site

Key areas include RAG, document processing, evaluations, observability, deployment, and integration ... Build RAG, document AI, and AI-enabled systems end-to-end: ingestion, chunking and layout decisions ...

CYNET SYSTEMS

AI Java Full Stack Lead

Atlanta, GA · On-site

$70 - $75/hr

Build and optimize RAG-based applications and AI agent frameworks. * Integrate Azure OpenAI/OpenAI services into enterprise applications. * Design and develop applications using Java, Spring Boot ...

New

Florence Healthcare - US

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

RAG-based workflows where needed * Iterate on outputs to improve quality, accuracy, and consistency * Design scalable and cost-efficient AI architectures for production workloads * Select and ...

previous page

Showing results 41-60

All JobsAi Rag JobsAi Rag Jobs in Atlanta, GA

Ai Rag information

See Atlanta, GA salary details

$30.8K

$56K

$80.3K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Atlanta, GA is $56,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $62,500.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Atlanta, GA? For Ai Rag jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Atlanta, GA look for? The top searched job categories for Ai Rag jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Ai Rag jobs? Cities near Atlanta, GA with the most Ai Rag job openings:
Ai Rag jobs near you

AI Engineer

InfiCare

Milton, GA • On-site

Other

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

Job description

Position: AI Engineer 

Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role)

Mode Of Hire: Contract

Role Summary

We are seeking an AI Engineer II to design and deliver responsible, secure AI-powered tools that improve onboarding (“boarding”) and operational execution. This role focuses on implementing agentic AI patterns (multi-step workflows, tool-use, and human-in-the-loop approvals) and integrating them into production systems to reduce manual effort, increase consistency, and improve service outcomes.

Key Responsibilities

  • Build and enhance AI-assisted operational tools such as guided intake, knowledge-grounded Q&A, case/ticket summarization, and runbook execution support.
  • Implement agentic workflows with clear guardrails: input validation, policy-aware prompting, approval steps, fallbacks, and safe failure modes.
  • Integrate AI capabilities with internal services and data sources through approved APIs; collaborate with platform teams to onboard integrations.
  • Develop retrieval and grounding approaches (e.g., RAG) to ensure responses are based on approved knowledge sources with proper access controls.
  • Create and maintain automated evaluations (quality, groundedness, safety), plus telemetry for monitoring performance, cost, and reliability.
  • Contribute to code reviews, unit/integration tests, CI/CD, and operational readiness (documentation, alerts, runbooks).
  • Partner with operations SMEs, product owners, risk, and security to refine requirements and ensure compliant delivery.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • X+ years of software engineering experience building production services or applications.
  • Demonstrated experience implementing LLM-powered features (prompting, tool/function calling, RAG, agent/workflow orchestration).
  • Proficiency in at least one of: Python, Java, or TypeScript; ability to work with REST APIs and event-driven patterns.
  • Strong engineering fundamentals: data structures, debugging, testing, and secure coding practices.
  • Experience handling sensitive data responsibly and applying least-privilege access and secure SDLC practices.

Preferred Qualifications

  • Experience supporting operational workflows (service management, onboarding operations, incident/change processes).
  • Familiarity with search/retrieval systems, ranking, and content chunking/embedding strategies.
  • Experience with observability (logs/metrics/traces) and operational support for production services.
  • Knowledge of Responsible AI practices (privacy, bias, safety, transparency) and implementing human-in-the-loop controls.
  • Experience working in regulated environments (financial services a plus).

What Success Looks Like

  • Delivers X–X production-ready AI capabilities that measurably improve cycle time, quality, or operational throughput.
  • Establishes baseline evaluations and monitoring to prevent regressions and ensure safe operation.
  • Produces clear documentation and supports smooth handoff/operations readiness.

Apply