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Retrieval Augmented Generation Jobs (NOW HIRING)

Senior AI Engineer

Hartford, CT ยท On-site

$55.75 - $71.75/hr

Mandatory Skills Google CCAI (Contact Center AI) Google Vertex AI RAG (Retrieval Augmented Generation) AI/ML Google GCP MLOps Healthcare Payer Cloud AI Platform Summary As an AI engineer, you will be ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. * Experience building vector embedding and vector search pipelines. * Strong cloud-native application ...

New

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

The ideal candidate will possess strong expertise in Python development , LLM integration , retrieval-augmented generation (RAG) , chatbot development , workflow automation , and AI model deployment ...

Sr. AI Developer w/ Reactjs

Warren, NJ ยท On-site

$56.50 - $74.75/hr

The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation (RAG ), and hands-on experience with LangChain and LangGraph frameworks. You will be responsible for ...

AI/ML Engineer

Minneapolis, MN ยท Remote

$106.50K - $131.50K/yr

Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using vector databases. 6. Automation Development: Creating AI-powered automation solutions, including Einstein ...

Senior Python/AI Developer

Pittsburgh, PA

$113.50K - $152.80K/yr

Develop APIs and integrate Retrieval-Augmented Generation (RAG) systems to enhance automation capabilities. * Contribute to agile development processes and provide technical expertise in LLM-based ...

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

AI Lead

Chicago, IL ยท On-site

$144.20K - $177.20K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

Software Engineer (Java + GenAI)

San Jose, CA ยท On-site

$60.75 - $83.25/hr

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

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Retrieval Augmented Generation information

What is a Retrieval Augmented Generation job?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What are the key skills and qualifications needed to thrive in the Retrieval Augmented Generation position, and why are they important?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the typical daily responsibilities of a Retrieval Augmented Generation engineer?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What cities are hiring for Retrieval Augmented Generation jobs? Cities with the most 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 Retrieval Augmented Generation jobs? States with the most job openings for Retrieval Augmented Generation jobs include:
What job categories do people searching Retrieval Augmented Generation jobs look for? The top searched job categories for Retrieval Augmented Generation jobs are:
Infographic showing various Retrieval Augmented Generation job openings in the United States as of May 2026, with employment types broken down into 19% Full Time, 77% Part Time, and 4% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Senior AI Engineer

Purple Drive Technologies

Hartford, CT โ€ข On-site

$55.75 - $71.75/hr

Full-time

Posted 10 days ago


Job description

Overview:
Mandatory Skills
Google CCAI (Contact Center AI)
Google Vertex AI
RAG (Retrieval Augmented Generation)
AI/ML
Google GCP
MLOps
Healthcare Payer
Cloud AI Platform
Summary
As an AI engineer, you will be in charge of designing and implementing AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.
This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team. The ideal candidate will have a strong background in data science and a proven track record in the industry.
Responsibilities
  • Design and develop AI applications and infrastructure for the Contact Center platform.
  • Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
  • Stay current with the latest AI trends and technologies, especially Google GCP or Azure AI for Contact Center
  • Create and maintain AI models and algorithms.
  • Conduct AI research to improve existing systems and develop new technologies.
  • Identify opportunities for AI solutions within the organization and propose strategic plans.
  • Train team members and stakeholders on AI and its applications.
  • Ensure compliance with data privacy regulations in AI applications.
  • Monitor the performance of AI systems and make necessary adjustments.
  • Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.