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Llm Jobs in Riverside, CA (NOW HIRING)

CompassX Group

Solution Architect - GenAI

Irvine, CA

$150K - $190K/yr

LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure. * Bridge to Enterprise Systems: Integrate GenAI ...

CompassX Group

Solution Architect - GenAI

Irvine, CA · On-site

$67.50 - $89/hr

LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure. * Bridge to Enterprise Systems: Integrate GenAI ...

acralending

AI Engineer

Irvine, CA

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

acralending

AI Engineer

Irvine, CA

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

Xe Careers

SEO & ASO Manager

Irvine, CA · On-site

LLM & AI Search Optimization * Research and implement strategies to increase Xe's visibility and accuracy in LLM-based search (e.g. ChatGPT, Perplexity, Gemini, Copilot). * Develop and test ...

CLPS Global

AI Engineer (Mississauga, ON- Canada)

Ontario, CA · On-site

$116K - $139K/yr

... AI & LLM Expertise: o Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs. o Critical: Deep ...

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

Hyundai Capital

Sr. GenAI Architect

Irvine, CA · On-site

HOW YOU WILL MAKE AN IMPACT 1. Define reference architecture (LLM selection, RAG, agent framework, APIs). Lead development of agentic and orchestrated multi-agent architectures. Establish coding ...

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All JobsLlm JobsLlm Jobs in Riverside, CA

Llm information

See Riverside, CA salary details

$87.2K

$146.3K

$186.7K

How much do llm jobs pay per year?

As of Jun 15, 2026, the average yearly pay for llm in Riverside, CA is $146,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $161,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an LLM (Master of Laws) graduate, and why are they important?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership, strategic planning, and extensive experience, and may include stock options or bonuses that contribute to the total compensation package.

What can you do with an LLM degree?

An LLM degree qualifies individuals for advanced legal roles such as legal analyst, compliance officer, or law professor. It can also enhance expertise in specialized areas like international law or intellectual property, often requiring strong research, writing, and analytical skills. The degree may lead to opportunities in law firms, corporate legal departments, or government agencies.

What are LLMs (Large Language Models)?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What jobs can you do with LLM?

With an LLM (Master of Laws), you can pursue careers in legal practice, such as lawyer, legal advisor, or corporate counsel. It also qualifies you for roles in academia, legal research, compliance, and policy analysis, often requiring strong analytical and research skills.

What job makes $10,000 a month without a degree?

A machine learning engineer or AI specialist can earn $10,000 or more per month through expertise in developing and deploying AI models, often requiring strong programming skills in Python and knowledge of frameworks like TensorFlow or PyTorch. Success in such roles depends on experience, project complexity, and the ability to work independently or in high-demand environments, often without formal degrees but with relevant skills and certifications.

What Is an LL.M.?

A Master of Laws, or LL.M., is an advanced legal degree designed for lawyers or legal scholars who want to demonstrate their expertise in a specific area of law after law school. While a juris doctoris (JD) is the most common degree people receive at law school, an LL.M. is a secondary degree that typically takes an additional year to complete. The LL.M. curriculum includes coursework in U.S., Canadian, and international law, and is meant for an attorney wanting to specialize in a specific area of law. An LL.M. also provides foreign attorneys with the necessary skills and background to practice law in the United States.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What are some common challenges faced by professionals working with large language models (LLMs) and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.
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Llm jobs near you
10850 - Sr. Software Engineer, Applied AI

10850 - Sr. Software Engineer, Applied AI

Hyundai AutoEver America

Irvine, CA • On-site

$129K - $171K/yr

Full-time

Posted 21 days ago

Job description

Job Summary:
Hyundai AutoEver America (HAEA) is a key IT affiliate of Hyundai Motor Corporation, providing innovative IT services to enhance mobility. They are seeking a Sr. Software Engineer - Applied AI Engineer to design and implement AI solutions for the automotive industry, focusing on full-stack AI applications and collaboration across teams.
Responsibilities:
• Design and implement applied AI solutions, including LLM applications, RAG pipelines, agentic workflows, predictive models, and generative AI tools.
• Develop full‑stack AI applications, building front‑end interfaces and integrating them with backend services and cloud architecture.
• Build production‑ready AI systems that integrate with enterprise platforms, and user-facing automotive applications.
• Own applied experimentation, prototype rapid PoCs/MVPs, refine prompts, iterate on model performance, and enhance AI reliability.
• Collaborate with cross-functional teams to translate requirements into AI capabilities and ensure solutions meet governance, privacy, and security standards.
Qualifications:
Required:
• Bachelor’s or master’s degree in computer science, engineering or a related field.
• 8+ years of software engineering experience, including 3+ years focused on AI/ML solution development.
• Proven experience delivering production-ready AI systems, including LLM-based applications, traditional ML models, RAG pipelines, and agentic/automated workflows.
• Hands-on expertise with modern agent frameworks such as AutoGen, LangGraph, LlamaIndex, CrewAI, and n8n, with strong knowledge of multi-agent orchestration patterns.
• Strong proficiency in Python and core AI/ML tooling, including TensorFlow or PyTorch, the Hugging Face ecosystem, and common AI orchestration frameworks.
• Deep experience with vector databases (Pinecone, ChromaDB, FAISS) and embedding-based retrieval techniques.
• Advanced understanding of prompt engineering, RAG architecture, model evaluation, and LLM optimization strategies.
• Practical experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, or Azure AI Foundry, along with ML Ops best practices (CI/CD, testing, model monitoring, observability).
• Proficiency with full-stack and cloud-native development, including React, microservice APIs, relational/NoSQL databases, Docker, and Kubernetes.
• Experience implementing the Model Context Protocol (MCP) to improve context sharing, interoperability, and coordination across multi-agent systems.
Company:
Hyundai AutoEver is an automobile sales internet company. Founded in 2005, the company is headquartered in Fountain Valley, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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