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Freelance Retrieval Augmented Generation Jobs (NOW HIRING)

Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks. * Build scalable APIs, microservices, and integrations supporting ...

AI Engineer

Dallas, TX · On-site

$90 - $120/hr

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Python AI Developer

Malvern, PA · On-site

$49.25 - $68/hr

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:

Implement Retrieval-Augmented Generation (RAG) architectures with Oracle Database. * Create and manage vector embeddings and vector indexes. * Integrate Oracle Database with LLMs and Generative AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

AI Voice Engineer

Los Angeles, CA · On-site

$140 - $220/hr

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

New

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

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Freelance Retrieval Augmented Generation information

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How much do freelance retrieval augmented generation jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for freelance retrieval augmented generation in the United States is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $18.75 per hour, depending on experience, location, and employer.

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.
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Infographic showing various Freelance 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, with an average salary of $47,772 per year, or $23 per hour.

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Datum Technologies Group is seeking an AI Engineer specializing in Conversational AI and IVR. The role involves designing, developing, and maintaining AI solutions, implementing workflows, and optimizing model performance for conversational experiences.
Responsibilities:
• Design, develop, and maintain AI solutions for IVR and conversational AI platforms.
• Implement LLM-based workflows, including prompt engineering, evaluation, and retrieval-augmented generation (RAG).
• Build and maintain knowledge retrieval pipelines to support IVR use cases such as FAQs, troubleshooting, and account-related queries.
• Evaluate and optimize model performance with a focus on accuracy, latency, and conversational quality.
• Contribute to the continuous improvement of AI-driven voice and conversational experiences.
Qualifications:
Required:
• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with Large Language Models (LLMs), including: Prompt engineering, Model evaluation, Retrieval-Augmented Generation (RAG)
• Experience working on enterprise-scale or customer-facing systems is a plus.
Preferred:
• Experience with NLP for conversational AI applications.
• Familiarity with speech and voice data workflows, including ASR, NLU, and TTS concepts.
Company:
Datum Technologies Group provides technology solutions, managed services, government contracting, and IT staffing services. Founded in 2001, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.