ZipRecruiter

Log In

2

Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

Apple

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities • Applying Machine Learning technologies for anomaly detection Bachelor's degree in Computer Science or ...

Virtusa

AI Analyst

New York, NY

Work with Generative AI, Agentic AI, and LLM Integration, utilizing frameworks like LangChain and techniques like RAG (Retrieval-Augmented Generation). 3 Code Quality & Validation: Utilize project ...

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 ...

Virtusa

AI Analyst

New York, NY · On-site

Work with Generative AI, Agentic AI, and LLM Integration, utilizing frameworks like LangChain and techniques like RAG (Retrieval-Augmented Generation). 3 Code Quality & Validation: Utilize project ...

Virtusa

AI Analyst

New York, NY

Work with Generative AI, Agentic AI, and LLM Integration, utilizing frameworks like LangChain and techniques like RAG (Retrieval-Augmented Generation). 3 Code Quality & Validation: Utilize project ...

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.

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 ...

Caltech

Application Developer

Pasadena, CA · On-site

Design and improve the AI agent loop - prompt engineering, tool design, retrieval-augmented generation (RAG) over archive documentation, multi-model support, and evaluation of LLM responses for ...

Kanor Systems

GenAI Developer

Mclean, VA

$51.50 - $71/hr

Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval use cases. * Implement and integrate Model Context Protocol (MCP) servers and clients to extend AI ...

next page

Showing results 1-20

All JobsEntry Level Retrieval Augmented Generation Jobs

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.

Is it entree or entry?

The correct term for the job level is 'entry' level, as in Entry Level Retrieval Augmented Generation roles. These positions typically require minimal professional experience and focus on foundational skills in data retrieval and AI tools. 'Entree' is a culinary term and not related to job levels or titles.

What does entry mean?

In the context of an Entry Level Retrieval Augmented Generation role, 'entry' typically refers to a position suitable for candidates with minimal professional experience or those new to the field. It often involves basic tasks and may require foundational skills in data retrieval, natural language processing, or related tools, with opportunities for on-the-job training and skill development.

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.

Is it entry or entery?

The correct term for the job level is 'entry' in Entry Level Retrieval Augmented Generation roles. There is no such term as 'entery' in this context. Entry-level positions typically require basic skills and may involve training or onboarding for new professionals.

What is the synonym of entry?

In the context of an Entry Level Retrieval Augmented Generation role, a synonym for 'entry' is 'beginning' or 'initial,' referring to a starting position that typically requires minimal experience. Such roles often serve as a stepping stone for developing skills in data retrieval, natural language processing, and AI tools.

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.
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
Data Engineer

Data Engineer

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Posted 19 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple's Media, Graphics, and Compute Technologies Group (MGC) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team provides the infrastructure to power numerous trend and operational dashboards as well as other ad-hoc use cases in support of services like Apple TV, Apple Music, and FaceTime. We are leveraging Generative AI and Machine Learning technologies to provide best-in-class data analytics and monitoring...This role offers the opportunity to help design, enhance, and develop our very-high-volume processing pipeline. You'll work with talented engineers within our team as well as cross-functional teams in an agile and dynamic environment that values engineering excellence, creativity, and innovation, and you will be a key contributor to our next generation of processing pipeline and data analytics platform.
Our team leverages modern Data Engineering, Generative AI and Machine Learning technologies to deliver actionable insights. You will be:• Collaborating with data scientists across functional teams to define and enhance performance metrics that provide valuable insights for stakeholders• Building and maintaining: - Ingestion pipelines for real-time data processing - Real-time applications driving operational monitoring - Batch ETL/ELT applications populating our data warehouse• Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities• Applying Machine Learning technologies for anomaly detection
Bachelor's degree in Computer Science or equivalent professional experienceExperience in building large scale distributed systems in Java/Python or similar languagesProficient in SQLExperience with data warehouse architectures and dimensional modelingDemonstrated ability to conduct performance analysis and troubleshoot large scale distributed systemsStrong collaboration skills with ability to understand complex architectures and work effectively across teamsHands-on experience with Docker and Kubernetes
Production experience with Apache Kafka, Spark, or FlinkWorking knowledge of Trino or similar distributed query enginesExperience building multi-agent AI systems or agentic workflowsFamiliarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMsExperience with creating and consuming Model Context Protocol (MCP) services

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply