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Ai Rag Jobs in Powder Springs, GA (NOW HIRING)

AI Architect

Atlanta, GA

$60.50 - $79.75/hr

Selects, standardizes, and documents AI patterns (e.g., RAG, agentic workflows, ML pipelines, rules + AI hybrids). * Creates reusable AI assets, templates, and architectural guardrails to accelerate ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... RAG services, to the React-based interfaces that surface autonomous insights to plant engineers ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... RAG services, to the React-based interfaces that surface autonomous insights to plant engineers ...

Job Summary : H2O.ai is on a mission to democratize AI, and they are seeking a Senior Sales ... RAG to multi-agent systems that can reason, use tools, and execute complex business logic ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... RAG services, to the React-based interfaces that surface autonomous insights to plant engineers ...

Develop solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows. * Design and evaluate AI agents, multi-agent ...

In this role,you'llapply technologies like LLMs, RAG, vector search, and agentic workflows to ... Design and build AI-powered applications that use LLMs to improve user workflows, search ...

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Applied AI Engineer

Atlanta, GA · On-site +1

$170K - $230K/yr

Senior Applied AI Engineer | Spatial Computer Vision & Digital Twins Location: Fully Remote (in the ... Build LLM and RAG workflows that reconcile detected assets with messy documentation, including ...

Software Engineer, AI/ML

Atlanta, GA · On-site

$102K - $160K/yr

Develop and integrate AI/ML and LLM-based solutions-including RAG/GraphRAG architectures, vector embeddings, and semantic retrieval-to improve translation and localization quality. * Build and ...

... and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate ... translate into AI-enabled analytical and technical solutions. • Develop and maintain a deep ...

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

Develop and integrate AI/ML and LLM-based solutions-including RAG/GraphRAG architectures, vector embeddings, and semantic retrieval-to improve translation and localization quality. * Build and ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are hiring a Senior AI Engineer to design, build, and operate enterprise AI systems across our ... Design and engineer RAG applications on top of vector databases -- chunking strategies, retrieval ...

OR · On-site

Architect and develop generative AI solutions including RAG pipelines, multi-agent systems, and autonomous monitoring * Create advanced analytics and BI solutions with modern self-service platforms ...

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

AI/ML Quality Engineer Location: Alpharetta, GA (Onsite - 5 days a week) 8-10 years overall ... Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases ...

... and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate ... translate into AI-enabled analytical and technical solutions. • Develop and maintain a deep ...

Showing results 41-60

Ai Rag information

See Powder Springs, GA salary details

$30.3K

$55.2K

$79.1K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Powder Springs, GA is $55,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $61,600.00 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 cities near Powder Springs, GA are hiring for Ai Rag jobs? Cities near Powder Springs, GA with the most Ai Rag job openings:

Founding AI Agent Engineer

Allus AI (YC F25)

Atlanta, GA • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Allus AI is building the next generation of vision intelligence systems, creating an AI-native platform for real-world vision workflows. They are seeking a Founding Engineer to develop core software systems that power the platform, focusing on agentic workflows and AI-native user experiences.
Responsibilities:
• Own the architecture and development of core AI-native software systems across the platform
• Build agentic workflows that turn user requirements and example inputs into structured, multi-step product workflows
• Design systems for orchestration, tool use, task planning, state management, and workflow reliability
• Build software that supports data intake, review loops, human feedback, and iterative task refinement
• Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization
• Build internal tools and user-facing product features powered by LLMs and agents
• Design evaluation and monitoring systems for workflow quality, reliability, latency, and production readiness
• Improve developer velocity through strong abstractions, automation, and AI-native tooling
• Rapidly prototype and ship new AI-driven product capabilities
Qualifications:
Required:
• 5+ years of experience building production software systems
• Strong backend engineering skills, including APIs, data pipelines, and system design
• Experience building and shipping LLM-powered applications or agentic product workflows
• Strong understanding of prompt design, tool use, retrieval, orchestration, and evaluation techniques
• Ability to move quickly from prototype to production
• Strong product intuition and desire to build user-facing AI experiences
• Comfort working across multiple parts of the stack with high ownership
• Full-stack software development
• Agent orchestration systems and multi-step workflow design
• RAG systems, embeddings pipelines, or retrieval architectures
• Human-in-the-loop systems and review workflows
• Evaluation systems, observability, and production monitoring
• Internal platforms, developer tooling, and automation systems
• Strong candidates should already be comfortable using tools such as Cursor, Claude Code, modern AI coding assistants, and LLM-based and agent-based development workflows
• Technologies we use: Python, Rust, SQL, TypeScript, React, Node.js, FastAPI, LangChain, Docker, Redis, AWS, GCP
Company:
Allus is a company that offers specialized AI vision-based services tailored to industrial manufacturing corporations worldwide that excel in optimizing processes and boosting productivity. Founded in 2025, the company is headquartered in Atlanta, USA, with a team of 2-10 employees. The company is currently Early Stage.