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Entry Level Retrieval Augmented Generation Jobs in Ohio

Engineer

Cleveland, OH · On-site

$90K - $120K/yr

... Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification techniques. • Integrate AI solutions with enterprise applications, ITSM tools, and business data ...

In this role, you will apply foundational knowledge of machine learning, neural networks, Transformer architectures, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI ...

$81 - $127/hr

Grundverständnis moderner AI-Architekturen wie Retrieval-Augmented Generation, Tool Calling und Agentic AI * Fähigkeit, fachliche Anforderungen in analytische Modelle, Datenprodukte und ...

$104 - $139/hr

... Retrieval-Augmented Generation, Evaluationsframeworks oder Agenten-Workflows * Nice to have: Grundkenntnisse in Python, JavaScript oder einer vergleichbaren Programmiersprache * Nice to have:

Internship

Cincinnati, OH · On-site

$15/hr

Develop and deploy Retrieval-Augmented Generation (RAG) agents to provide parents with instant, grounded advice based on Beech Acres' proprietary archives. * Design and maintain efficient database ...

GenAI and AI knowledge (Nice to have) oUnderstanding of GenAI concepts, use cases, deployment patterns, and AI fundamentals. oFamiliarity with technologies such as Retrieval-Augmented Generation (RAG ...

Google Data Specialist

Cincinnati, OH · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...

Google Data Specialist

Hartford, OH · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...

Google Data Specialist

Columbus, OH · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...

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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 Ohio?

The most popular types of Retrieval Augmented Generation jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Retrieval Augmented Generation jobs?

Cities in Ohio with the most Entry Level Retrieval Augmented Generation job openings:

Infographic showing various Entry Level Retrieval Augmented Generation job openings in Ohio as of August 2026, with employment types broken down into 9% Internship, and 91% Full Time. Highlights an 73% In-person, and 27% Remote job distribution.

Java Lead Developer - AI Experience

XFORIA Inc

Columbus, OH • On-site

Other

Posted 7 days ago


Job description

Job Title: Java AWS Developer with AI
Location: Columbus, OH (Onsite)
Mode: Contract

 
Job Description:
· Strong Application Development work experience using Java/J2EE in AWS cloud environment
· Agile environment preferred
· Solid application design, coding, testing, maintenance and debugging skills
· Experience with Junit and Cucumber testing.
· Experience with APM Monitoring tools and logging tools like Splunk
· Proficiency with JIRA, Confluence (preferred).
· AWS solution implementation hands on experience is mandatory.
· Amazon ECS, EC2, S3,API Gateway, amazon aurora , ALB, and Route 53 extensive knowledge and implementation experience.                                                      
· Subject mater expert having experience of interacting with client, understanding the requirement and guiding the team.
· Documenting the requirements clearly with defined scope and must play a anchor role in setting the right expectations and delivering as per the schedule.
· Experience using AI-assisted development tools such as Github Copilot, Cursor, Claude Code or Amazon Q Understanding of Retrieval Augmented Generation (RAG), embeddings, Vector databases and semantic search. Knowledge of AI security, prompt engineering, hallucination mitigation and responsible AI practices.