AI DevEx Engineer
Atlanta, GA · On-site
Preferred : • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing. • Experience building internal Developer Experience (DevEx) tools. • ...
AI DevEx Engineer
Atlanta, GA · On-site
Preferred : • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing. • Experience building internal Developer Experience (DevEx) tools. • ...
Data Scientist
Atlanta, GA · On-site
Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration. * Experience building ...
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Data Scientist
Atlanta, GA · On-site
Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration. * Experience building ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
AI/ML Engineer - Q126
Alpharetta, GA · On-site
The ideal candidate deeply understands the 2026 AI ecosystem, including advanced RAG (Retrieval-Augmented Generation) architectures, autonomous agents, and model orchestration. Key Responsibilities:
AI/ML Engineer - Q126
Alpharetta, GA · On-site
The ideal candidate deeply understands the 2026 AI ecosystem, including advanced RAG (Retrieval-Augmented Generation) architectures, autonomous agents, and model orchestration. Key Responsibilities:
Retrieval, grounding & context engineering • Develop end-to-end Retrieval-Augmented Generation ... Professional development From entry-level employees to senior leaders, we believe there's always ...
Retrieval, grounding & context engineering • Develop end-to-end Retrieval-Augmented Generation ... Professional development From entry-level employees to senior leaders, we believe there's always ...
Data Engineer (AI & Data Platforms) - Q126
Alpharetta, GA · On-site
$111K - $134K/yr
... and Retrieval-Augmented Generation (RAG) architectures. Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake ...
Data Engineer (AI & Data Platforms) - Q126
Alpharetta, GA · On-site
$111K - $134K/yr
... and Retrieval-Augmented Generation (RAG) architectures. Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake ...
AI DevEx Engineer
Alpharetta, GA · On-site
Preferred : • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing. • Experience building internal Developer Experience (DevEx) tools. • ...
AI DevEx Engineer
Alpharetta, GA · On-site
Preferred : • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing. • Experience building internal Developer Experience (DevEx) tools. • ...
This role will focus on building production-grade AI solutions , including Retrieval-Augmented Generation (RAG) , multi-agent orchestration, NLP pipelines, transcription solutions, model deployment ...
Quick apply
This role will focus on building production-grade AI solutions , including Retrieval-Augmented Generation (RAG) , multi-agent orchestration, NLP pipelines, transcription solutions, model deployment ...
Generative AI Engineer
Atlanta, GA · On-site
$140 - $190/hr
Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy. * Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real ...
Generative AI Engineer
Atlanta, GA · On-site
$140 - $190/hr
Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy. * Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real ...
Deeply integrate Azure AI Services (Azure OpenAI, Azure AI Search, Azure Document Intelligence) to build enterprise-grade Retrieval-Augmented Generation (RAG) systems. * Orchestrate intelligent ...
Deeply integrate Azure AI Services (Azure OpenAI, Azure AI Search, Azure Document Intelligence) to build enterprise-grade Retrieval-Augmented Generation (RAG) systems. * Orchestrate intelligent ...
Deeply integrate Azure AI Services (Azure OpenAI, Azure AI Search, Azure Cognitive Services) to build enterprise-grade Retrieval-Augmented Generation (RAG) systems. * Orchestrate intelligent, multi ...
Deeply integrate Azure AI Services (Azure OpenAI, Azure AI Search, Azure Cognitive Services) to build enterprise-grade Retrieval-Augmented Generation (RAG) systems. * Orchestrate intelligent, multi ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Experience withRAG (Retrieval-Augmented Generation)frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualizationtools (Tableau/PowerBI)and basic SQL to pull ...
Experience withRAG (Retrieval-Augmented Generation)frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualizationtools (Tableau/PowerBI)and basic SQL to pull ...
You'll work directly with a Senior AI Engineer to add AI capabilities to our existing full-stack applications, and to design and ship retrieval-augmented generation (RAG) systems, agentic workflows ...
You'll work directly with a Senior AI Engineer to add AI capabilities to our existing full-stack applications, and to design and ship retrieval-augmented generation (RAG) systems, agentic workflows ...
Full Stack Developer (Java Spring Boot & Angular) - Q126
Alpharetta, GA · On-site
$51.25 - $66.25/hr
Design APIs and data models that are future-proofed for AI integration, allowing seamless data flow into RAG (Retrieval-Augmented Generation) systems. * Integrate third-party AI APIs (including ...
Full Stack Developer (Java Spring Boot & Angular) - Q126
Alpharetta, GA · On-site
$51.25 - $66.25/hr
Design APIs and data models that are future-proofed for AI integration, allowing seamless data flow into RAG (Retrieval-Augmented Generation) systems. * Integrate third-party AI APIs (including ...
Generative AI Engineer
Atlanta, GA · On-site
... Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. • Understand how ...
Generative AI Engineer
Atlanta, GA · On-site
... Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. • Understand how ...
Generative AI Engineer
Atlanta, GA · On-site
... Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. • Understand how ...
Generative AI Engineer
Atlanta, GA · On-site
... Retrieval-Augmented Generation) strategies to improve response accuracy. • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. • Understand how ...
GenAI Tuning Analyst
Norcross, GA · On-site
Experience with RAG (Retrieval-Augmented Generation) frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualization tools (Tableau/PowerBI) and basic SQL to pull ...
GenAI Tuning Analyst
Norcross, GA · On-site
Experience with RAG (Retrieval-Augmented Generation) frameworks. * Background in Linguistics or Cognitive Science. * Experience with data visualization tools (Tableau/PowerBI) and basic SQL to pull ...
... and retrieval-augmented generation (RAG) Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before ...
... and retrieval-augmented generation (RAG) Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before ...
... and retrieval-augmented generation (RAG). Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before ...
... and retrieval-augmented generation (RAG). Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before ...
Entry Level Retrieval Augmented Generation information
What is an entry level retrieval augmented generation job?
Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.
What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?
To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.
What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?
| Aspect | Entry Level Retrieval Augmented Generation | Entry Level Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, understanding of NLP and AI concepts | Bachelor's in Data Science, Computer Science, or related field |
| Work Environment | Tech companies, AI startups, research labs | Tech firms, finance, healthcare, consulting |
| Industry Usage | AI development, NLP applications, chatbot creation | Data analysis, predictive modeling, data-driven decision making |
Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.
What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?
Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Atlanta, GA?
The most popular types of Retrieval Augmented Generation jobs in Atlanta, GA are:
What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Atlanta, GA?
For Entry Level Retrieval Augmented Generation jobs in Atlanta, GA, the most frequently searched job titles are:
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What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Atlanta, GA look for?
The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Atlanta, GA are:
Job description
Job Summary:
Incident IQ is a leading workflow management platform for K-12 districts based in Atlanta. They are seeking an AI DevEx Engineer to build tools and plugins that enhance engineering workflows and improve operational efficiency.
Responsibilities:
• Design and build out robust skills, tools, and agents for our internal Claude Code plugins, eventually scaling this architecture to support multiple distinct engineering workflows.
• Manage, structure, and expand our internal reference library. You will be responsible for ensuring our agents have the right context and documentation to make highly accurate, business-aligned decisions.
• Actively review agent runs, interactions, and logs generated by the engineering teams. You will identify failure points, debug complex agentic loops, and deploy fixes to improve reliability.
• Design and implement a comprehensive testing suite from the ground up tailored for Full Stack Agentic Development. You will establish robust methodologies to effectively test, evaluate, and benchmark non-deterministic AI results.
• Make sound architectural decisions across the stack (primarily utilizing .NET and React) to ensure scalability, security, and performance of our AI infrastructure.
• Clearly document and explain your code, architectural choices, and the step-by-step process used to achieve your solutions to technical and non-technical stakeholders.
• Actively mentor and teach engineering teams, creating comprehensive documentation and maintaining an open, feedback-receptive mindset toward the tools you build.
• Approach development with deep empathy for existing workflows, ensuring that new solutions enhance our current processes rather than disrupting them for the sake of 'the latest' tech.
Qualifications:
Required:
• Strong command of LLM/Agentic orchestration, including MCP integrations, AI debugging/evaluation methodologies, and core CS fundamentals.
• A focus on data security and privacy is critical.
• Exceptional ability to listen, translate complex technical jargon into actionable insights for non-technical stakeholders, and advocate for user-centric solutions.
• A pragmatic approach to problem-solving that favors simple, scalable solutions over over-engineering.
• Strong general understanding of coding and architectural understanding, with highly preferred experience in .NET (backend) and React (frontend).
Preferred:
• Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing.
• Experience building internal Developer Experience (DevEx) tools.
• Familiarity with AI evaluation (Evals) frameworks for scoring agent performance.
Company:
Incident IQ transforms the way school districts provide and manage services, including ITSM, ITAM and myriad digital workflows for K-12. Founded in 2016, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Incident IQ is a leading workflow management platform for K-12 districts based in Atlanta. They are seeking an AI DevEx Engineer to build tools and plugins that enhance engineering workflows and improve operational efficiency.
Responsibilities:
• Design and build out robust skills, tools, and agents for our internal Claude Code plugins, eventually scaling this architecture to support multiple distinct engineering workflows.
• Manage, structure, and expand our internal reference library. You will be responsible for ensuring our agents have the right context and documentation to make highly accurate, business-aligned decisions.
• Actively review agent runs, interactions, and logs generated by the engineering teams. You will identify failure points, debug complex agentic loops, and deploy fixes to improve reliability.
• Design and implement a comprehensive testing suite from the ground up tailored for Full Stack Agentic Development. You will establish robust methodologies to effectively test, evaluate, and benchmark non-deterministic AI results.
• Make sound architectural decisions across the stack (primarily utilizing .NET and React) to ensure scalability, security, and performance of our AI infrastructure.
• Clearly document and explain your code, architectural choices, and the step-by-step process used to achieve your solutions to technical and non-technical stakeholders.
• Actively mentor and teach engineering teams, creating comprehensive documentation and maintaining an open, feedback-receptive mindset toward the tools you build.
• Approach development with deep empathy for existing workflows, ensuring that new solutions enhance our current processes rather than disrupting them for the sake of 'the latest' tech.
Qualifications:
Required:
• Strong command of LLM/Agentic orchestration, including MCP integrations, AI debugging/evaluation methodologies, and core CS fundamentals.
• A focus on data security and privacy is critical.
• Exceptional ability to listen, translate complex technical jargon into actionable insights for non-technical stakeholders, and advocate for user-centric solutions.
• A pragmatic approach to problem-solving that favors simple, scalable solutions over over-engineering.
• Strong general understanding of coding and architectural understanding, with highly preferred experience in .NET (backend) and React (frontend).
Preferred:
• Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing.
• Experience building internal Developer Experience (DevEx) tools.
• Familiarity with AI evaluation (Evals) frameworks for scoring agent performance.
Company:
Incident IQ transforms the way school districts provide and manage services, including ITSM, ITAM and myriad digital workflows for K-12. Founded in 2016, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Incident IQ
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Atlanta, GA, US
Year founded
2016