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Freelance Retrieval Augmented Generation Jobs in Nevada

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows. * Document solution design, build ...

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows. * Document solution design, build ...

Systems Architect

Las Vegas, NV · On-site

$232K/yr

... Retrieval Augmented Generation RAG Large Language Models LLM AI Copilot Prompt Engineering Prompt Management Context Window Management AI Safety Latency Optimization Enterprise Data Isolation ...

Design and implement Retrieval-Augmented Generation (RAG) architectures and AI-driven workflows using vector databases and modern AI frameworks. Build, deploy, and maintain custom data visualization ...

Design and implement Retrieval-Augmented Generation (RAG) architectures and AI-driven workflows using vector databases and modern AI frameworks. * Build, deploy, and maintain custom data ...

Staff AI Engineer

Carson City, NV · On-site

$169.40 - $254.10/hr

... retrieval augmented generation (RAG), vector stores, and developer facing AI systems. You will operate with a high degree of autonomy, partner closely with product and architecture leadership, and ...

Senior Legal Counsel

Las Vegas, NV · On-site

$133K - $181K/yr

... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...

Senior Legal Counsel

Las Vegas, NV

$133K - $181K/yr

... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...

Senior Legal Counsel

Las Vegas, NV · On-site

$133K - $181K/yr

... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...

Freelance Retrieval Augmented Generation information

What is a freelance retrieval augmented generation specialist?

A Freelance Retrieval Augmented Generation (RAG) specialist is an independent professional who designs, develops, and implements AI systems that combine retrieval-based methods with generative models. RAG specialists help organizations enhance their applications by integrating large language models (LLMs) with external data sources, allowing the AI to access and utilize up-to-date information beyond its training data. Their work involves tasks such as building pipelines for document indexing and retrieval, fine-tuning models, and optimizing the integration for accuracy and efficiency. Freelance RAG specialists typically work on a contract basis, offering flexibility and expertise for businesses that need advanced AI solutions.

What are the key skills and qualifications needed to thrive as a freelance retrieval augmented generation specialist?

To thrive as a Freelance Retrieval Augmented Generation (RAG) Specialist, you need expertise in natural language processing, information retrieval, and machine learning, typically supported by a degree in computer science or related fields. Proficiency with frameworks like Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone), and cloud platforms is often required. Strong problem-solving, effective communication, and adaptability set standout professionals apart in this role. These skills ensure the development and fine-tuning of high-performance RAG systems that deliver accurate, contextually relevant results for clients.

How does a freelance retrieval augmented generation specialist typically collaborate with client teams during a project?

Freelance Retrieval Augmented Generation (RAG) specialists often work closely with client data scientists, engineers, and project managers to understand business requirements and integrate RAG systems into existing workflows. Communication is usually handled through regular virtual meetings, shared documentation, and sometimes real-time collaboration tools. Freelancers are expected to deliver modular, well-documented solutions and provide guidance on optimizing retrieval pipelines or fine-tuning models. This collaborative dynamic ensures that RAG implementations are aligned with client goals and technical standards, while also allowing freelancers to contribute innovative solutions based on their expertise.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Nevada?

The most popular types of Retrieval Augmented Generation jobs in Nevada are:

What are popular job titles related to Freelance Retrieval Augmented Generation jobs in Nevada?

For Freelance Retrieval Augmented Generation jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Freelance Retrieval Augmented Generation jobs in Nevada look for?

The top searched job categories for Freelance Retrieval Augmented Generation jobs in Nevada are:

What cities in Nevada are hiring for Freelance Retrieval Augmented Generation jobs?

Cities in Nevada with the most Freelance Retrieval Augmented Generation job openings:

$14.50 - $19/hr

Full-time

Re-posted 2 days ago


Ormat rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Position Summary

The AI Builder is a hands-on delivery role responsible for designing, building, and deploying practical AI agents, copilots, and automated workflows that help Ormat move AI solutions from experimentation to execution. This position partners directly with business users to translate scoped business problems into working solutions that connect to company data, systems, and processes. Success in this role is measured by solutions that are shipped, adopted, reused, and reliably used by employees across Ormat's global operations. This position is part of the AI Center of Excellence team based out of Reno, Nevada. Typical work involves platforms such as Microsoft Power Automate, Copilot Studio, n8n, Make, LangChain, and OpenAI AgentKit. 

Essential Functions

  • Design, build, test, and deploy multi-step AI agents, copilots, and automated workflows that solve defined business problems and improve operational efficiency.
  • Work directly with business users to understand workflow needs, prototype solutions quickly, gather feedback, and iterate until solutions are practical and usable.
  • Connect AI solutions to internal data, documents, and platforms, including Microsoft 365, SharePoint, databases, APIs, and other approved business systems.
  • Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows.
  • Document solution design, build standards, reusable patterns, handoff notes, and support requirements to enable repeatable delivery and long-term maintainability.
  • Partner with IT, Data, security, and business stakeholders to transition production-ready solutions into appropriate infrastructure, monitoring, governance, and support models.

Other Responsibilities

Perform other duties as assigned. Support internal AI enablement efforts, contribute to reusable solution libraries and standards, participate in AI Leads or cross-functional working groups as needed, and remain current on emerging AI, automation, and productivity tools relevant to Ormat's business environment.

Education, Experience, and Skills Required

  • Demonstrated experience building AI agents, automations, GenAI applications, or workflow-based technical solutions; A portfolio of shipped and adopted solutions matters more than years of experience or job titles. 
  • Hands-on fluency with at least one modern agent, automation, or low-code/no-code platform such as Microsoft Power Automate, Copilot Studio, LangChain, OpenAI AgentKit, n8n, Make, or similar tools.
  • Working understanding of prompt engineering, retrieval-augmented generation, agent orchestration, workflow design, and responsible AI practices.
  • Ability to connect technology solutions to business needs, break complex processes into clear steps, and design reliable user-centered workflows.
  • Strong communication skills and comfort working directly with business users, technical partners, and cross-functional stakeholders in a fast-moving environment.
  • Bachelor's degree in information systems, computer science, business analytics, engineering, operations, or a related field preferred; equivalent practical experience may be considered.

Physical Requirements

  • Primarily office-based role requiring the ability to sit or stand for extended periods, use a computer and standard office equipment, communicate verbally and in writing, and attend meetings in person or virtually. Occasional travel between company locations may be required.

This is an opportunity to build practical AI solutions at the intersection of AI, operations, and renewable energy - helping shape how Ormat works and competes in a rapidly evolving industry.


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