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Entry Level Retrieval Augmented Generation Jobs in Atlanta, GA

Spruce Infotech

Agentic Gen AI Engineer

Alpharetta, GA · On-site

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

ITBMS Inc.

AI Engineer

Alpharetta, GA · On-site

Technical Skills AI & Agents LLMs, Agentic AI, Multi-Agent Systems, Prompt Engineering, Retrieval-Augmented Generation (RAG), Semantic Kernel, Lang-Graph, Microsoft Auto-Gen, AI Governance ...

Aptean

AI Implementation Engineer

Alpharetta, GA

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Aptean

AI Implementation Engineer

Alpharetta, GA · On-site

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Aptean

AI Implementation Engineer

Alpharetta, GA · On-site

$120 - $180/hr

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

New

Aptean

AI Implementation Engineer

Alpharetta, GA

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Collabera

AI/ML Engineer

Atlanta, GA · On-site

$50 - $70/hr

Experience building RAG (Retrieval-Augmented Generation) pipelines for AI applications. Experience developing AI agents or agentic workflows using frameworks such as Lang Chain, LangGraph, CrewAI ...

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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 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 is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData 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 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:

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:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Atlanta, GA as of August 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Generative AI Engineer

Info Way Solutions

Alpharetta, GA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Info Way Solutions is seeking a Generative AI Engineer to join their AI/ML team and build cutting-edge generative models and applications. The role involves designing, building, evaluating, and deploying systems for various AI tasks, including text and image generation, while collaborating with research and product teams.
Responsibilities:
• Design and build scalable and production-grade generative AI systems.
• Develop, fine-tune, and evaluate LLMs
• Integrate LLMs with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Work with prompt engineering and prompt optimization for various applications.
• Build and maintain APIs and backends for generative AI applications.
• Collaborate with research and product teams to bring prototypes to production.
Qualifications:
Required:
• Experience in designing and building scalable and production-grade generative AI systems.
• Proficiency in developing, fine-tuning, and evaluating LLMs.
• Experience integrating LLMs with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Knowledge of prompt engineering and prompt optimization for various applications.
• Ability to build and maintain APIs and backends for generative AI applications.
• Experience collaborating with research and product teams to bring prototypes to production.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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