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Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Remote We are seeking a highly skilled Developer with strong expertise in Artificial Intelligence (AI) coding, particularly in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG ...

Visvero

Gen AI Architect

Manhattan, NY · On-site

Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG). * Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API integration.

Orchard

Junior Agentic AI Engineer

Pittsburgh, PA · On-site

... Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses. • Develop scalable backend services and APIs to support AI agent operations. • Monitor agent performance ...

New

Advantest

AI Intern

San Jose, CA · On-site

You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI ...

Advantest

AI Intern

San Jose, CA · On-site

You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI ...

Visvero, Inc.

Gen AI Architect

New York, NY

Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

Working knowledge of modern AI application patterns, including retrieval-augmented generation (RAG) and AI-assisted automation. * • Outstanding communication skills (both technical and non ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

... AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development ...

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

Working knowledge of modern AI application patterns, including retrieval-augmented generation (RAG) and AI-assisted automation. * • Outstanding communication skills (both technical and non ...

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

Working knowledge of modern AI application patterns, including retrieval-augmented generation (RAG) and AI-assisted automation. * • Outstanding communication skills (both technical and non ...

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Entry Level Retrieval Augmented Generation information

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 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 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 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.
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Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in the United States as of July 2026, with employment types broken down into 28% Locum Tenens, 64% Full Time, 6% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
Full Stack Developer

Full Stack Developer

System Soft Technologies

Phoenix, AZ • On-site

Full-time

Re-posted 5 days ago

Job description

Posting ID : 10395
Posting title: IT - AZDES - DTS - Developer - Full Stack Developer
Client: State Of AZ (Arizona Department of Economic Security)
Location: Phoenix, AZ (1-2 Days from Office)
Duration: 3-6 Months+
Local to Phoenix only. This is hybrid, 1-2 days in the office a week. Please don't submit candidates that were submitted to 10024.
Key Responsibilities:
  • Implementing RAG: Developing systems that retrieve enterprise data to enhance LLM responses.
  • Prompt Engineering: Designing, evaluating, and optimizing prompts to improve model performance.
  • API Development: Creating secure REST APIs to integrate OpenAI models into applications.
  • Security & Compliance: Ensuring AI solutions adhere to responsible AI principles, data privacy, and security standards.

Required Skills:
  • Need to have Python, JavaScript, and Angular (all must be on resume)
  • Experience with AI Augmented / Agentic Development using GitHub Co-Pilot or similar tools"
  • RAG pipeline (Retrieval-Augmented Generation)
  • LLM (large language models)
  • OpenAI

Preferred Skills:
  • SQL DB or PostgreSQL
  • REST API's
  • CI/CD
  • Docker
  • React
  • Azure cloud

Apply