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Entry Level Retrieval Augmented Generation Jobs in Riverside, CA

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

... retrieval-augmented generation).This is a full-cycle ML role : you'll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It's a blend of applied ...

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AI/ML Engineer (AWS)

Irvine, CA · Remote

$120K - $155K/yr

Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures. * Experience designing distributed systems or working within cloud-based environments. * Experience ...

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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.

What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Riverside, CA look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Retrieval Augmented Generation jobs? Cities near Riverside, CA with the most Entry Level Retrieval Augmented Generation job openings:
Entry Level Retrieval Augmented Generation jobs near you
Software Development Engineer II - AI Software Components

Software Development Engineer II - AI Software Components

Esri

Redlands, CA • On-site

Other

Posted 22 days ago

Job description

Overview

Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions. Our team develops scalable, high-performance software that brings advanced spatial intelligence and automation to complex operational environments.

As a Software Development Engineer II focused on AI innovation, you will help research, prototype, and integrate AI technologies, including Large Language Models (LLMs), Computer Vision, and Multimodal Systems-into real-world applications. You will work closely with cross-functional engineering and product teams to deliver innovative features that improve workflows, automation, and user experience.

If you are passionate about geospatial technology, AI, and building practical solutions from emerging technologies, this is the place to grow your career.

Responsibilities

  • Research and prototype AI-driven features for geospatial software products
  • Integrate LLMs, computer vision, and AI services into existing applications
  • Develop tools that automate workflows for indoor mapping and indoor reality creation, roadway and utility GIS, and GIS system observability
  • Assist in model evaluation, benchmarking, and performance testing
  • Contribute to spec-driven development and AI-assisted coding workflows
  • Collaborate with cross-functional teams to deliver AI-powered features
  • Document experiments, prototypes, and technical approaches
  • Present findings on work; synthesize and address feedback
  • Participate in software quality and code review processes

Requirements

  • 2+ years of professional software development experience evaluating, prototyping, and integrating AI technologies and approaches into software solutions
  • Strong proficiency in Python
  • Strong understanding and the ability to develop software algorithms
  • Working knowledge of JavaScript or TypeScript
  • Experience building or integrating APIs and services
  • Database knowledge, including SQL and data modeling
  • Strong analytical and problem-solving skills
  • Effective communication and teamwork abilities
  • Bachelor's degree in Computer Science, Software Engineering or a related STEM field

Recommended Qualifications

  • Experience building RAG (Retrieval-Augmented Generation) systems
    • Familiarity with semantic search and vector databases
  • Experience with computer vision models, such as:
    • SAM (Segment Anything Model)
    • YOLO family of models
    • DINO (Distillation with No Labels)
  • Experience with Gaussian Splatting
  • Experience working with LLMs, such as:
    • ChatGPT / OpenAI models
    • Claude
    • Gemini
    • Llama
  • Experience with image and video feature tracking and extraction
  • Familiarity with Model Context Protocol (MCP) usage or development
  • Basic experience with C++
  • Familiarity with geospatial data formats, GIS concepts, and/or ArcGIS
  • Experience or exposure to spec-driven development or AI-assisted coding
  • Master's degree in Computer Science, Software Engineering or a related STEM field

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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