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Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs. * Manage and optimize vector databases for efficient storage and retrieval of data ...

Data Engineer Profiles: (Gen AI skilled )

Whippany, NJ ยท On-site

$115.80K - $139K/yr

Build and maintain high-throughput data pipelines, infrastructure, and storage solutions specifically to feed, train, and deploy AI/ML models, implementing RAG (Retrieval-Augmented Generation ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

The ideal candidate will possess strong expertise in Python development , LLM integration , retrieval-augmented generation (RAG) , chatbot development , workflow automation , and AI model deployment ...

Sr. AI Developer w/ Reactjs

Warren, NJ ยท On-site

$56.50 - $74.75/hr

The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation (RAG ), and hands-on experience with LangChain and LangGraph frameworks. You will be responsible for ...

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

... Retrieval-Augmented Generation (RAG) applications is a strong advantage. * 2+ yrs of Large Language Models (LLMs) or Small Language Models (SMLs)

Software Engineer (Java + GenAI)

San Jose, CA ยท On-site

$60.75 - $83.25/hr

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

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Entry Level Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as an Entry Level Retrieval Augmented Generation Specialist, and why are they important?

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 (RAG) 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 entry level retrieval augmented generation jobs?

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 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.

More about Entry Level Retrieval Augmented Generation jobs
What cities are hiring for Entry Level Retrieval Augmented Generation jobs? Cities with the most Entry Level Retrieval Augmented Generation job openings:
What are the most commonly searched types of Retrieval Augmented Generation jobs? The most popular types of Retrieval Augmented Generation jobs are:
What states have the most Entry Level Retrieval Augmented Generation jobs? States with the most job openings for Entry Level Retrieval Augmented Generation jobs include:
Infographic showing various Entry Level Retrieval Augmented Generation job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 94% Physical, and 6% Remote job distribution.
Remote Context & Retrieval Engineer (RAG Specialist)

Remote Context & Retrieval Engineer (RAG Specialist)

DeWinter Group

Campbell, CA โ€ข Remote

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

A leader in AI solutions is seeking a skilled Context/Retrieval Engineer for a 12-month contract. This remote role focuses on optimizing Retrieval-Augmented Generation (RAG) pipelines to enhance accuracy in AI responses. Candidates must have at least 3 years of experience in Information Retrieval or AI Engineering, along with expertise in vector databases like Pinecone.

Strong Python skills and autonomy are required, as the position involves delivering impactful results quickly. #J-18808-Ljbffr