ZipRecruiter

Log In

2

Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

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.

Virtusa Corporation

Sr. Mainframe Developer

New York, NY · On-site

$53.50 - $69/hr

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...

Virtusa Corporation

Sr. Mainframe Developer

New York, NY · On-site

$53.50 - $69/hr

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...

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.

Amazon

SDE II, Sales Data Services (SDS)

Seattle, WA · On-site

Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...

TheLab

AI Developer

Manhattan, NY · On-site

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...

thelab

AI Developer

Manhattan, NY · On-site

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Noblesoft Technologies

AI Developer

San Jose, CA · Remote

Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...

TheLab

AI Developer

Manhattan, NY · On-site

$115K/yr

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

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 ...

Vkore Solutions

GenAI Engineer-W2

Austin, TX · On-site

Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...

previous page

Showing results 41-60

All JobsRetrieval Augmented Generation JobsEntry Level Retrieval Augmented Generation Jobs

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.

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:

What job categories do people searching Entry Level Retrieval Augmented Generation jobs look for?

The top searched job categories for Entry Level Retrieval Augmented Generation jobs are:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 33% Part Time, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

Gen AI Architect

Visvero

Manhattan, NY • On-site

Full-time

Re-posted 3 days ago

Job description


Key Responsibilities:
  • Design,develop, and implement Generative AI solutions tailored to investmentbanking needs.
  • UtilizeMicrosoft Azure OpenAI services to build and optimize AI models.
  • ApplyRAG techniques to improve information retrieval and decision-makingprocesses.
  • Collaboratewith cross-functional teams including AI, data science, and investmentbanking divisions.
  • Developprototypes and proof-of-concept models for internal stakeholders.
  • Ensurecompliance with data security, privacy policies, and industryregulations.
  • Stayupdated with the latest trends and advancements in AI, especially relatedto RAG and Azure OpenAI.

Requirements
Qualifications:
  • Provenexperience in investment banking or financial services.
  • Extensivehands-on experience with Microsoft Azure OpenAI services.
  • Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG).
  • Proficiencyin programming languages such as Python.
  • Knowledgeof AI model deployment and API integration.
  • Excellentproblem-solving skills and ability to work in a fast-pacedenvironment.
  • Strongcommunication skills and ability to convey technical concepts tonon-technical stakeholders.

Apply