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Remote Rag Jobs (NOW HIRING)

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: 6 Months Contract with possible extension Job Overview: * AI Engineer with 6 ... RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience ... RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and ...

Noblesoft Technologies

Data Scientist

CA · Remote

Remote We are looking for a Senior Developer with expertise in agentic AI, Retrieval-Augmented Generation (RAG), Databricks, and ServiceNow API integration to support the development of an ...

Answer Financial Inc.

AI Engineer-Remote Opportunity

$120K - $199K/yr

The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining ... Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG ...

Simarn Solutions

AI/ML Engineer

Minneapolis, MN · On-site +1

$65/hr

Remote Pay Rate: $65/hr Industry: Information Technology / AI & CRM Integration End Date: 01-Dec ... Develop RAG pipelines using vector databases and LLMs to improve contextual understanding. * Extend ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: 6 Months Contract with possible extension Job Overview: * AI Engineer with 6 ... RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience ... RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and ...

SolGenie

AI Lead (SAP FICO Functional Background)

Torrance, CA (Remote) Duration: 6+ Months We are looking for an AI Lead / GenAI Engineer with ... Develop and implement RAG-based solutions using enterprise financial and SAP data * Lead POC ...

Cayenta

(Remote) AI Bid & Proposal Manager

Iowa, LA · On-site +1

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

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How much do remote rag jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote rag in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Remote Rag jobs near you
Infographic showing various Remote Rag job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.
Sr Machine Learning / AI Engineer - Remote

Sr Machine Learning / AI Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$134K - $176K/yr

Full-time

Posted 14 days ago

Job description

NAVA Software solutions is looking for a Senior Machine Learning / AI Engineer
Details:
Senior Machine Learning / AI Engineer
Location: Remote
Duration: 1+ year
About the Project
The team has developed an intelligent search solution that includes mobile integration. The next phase focuses on extending member benefits and provider search capabilities to enable greater self-service, while leveraging AI to support intentional prompting and member decision-making.
The selected candidate will play a key role in enhancing AI-driven features, integrating advanced models, and strengthening the data and deployment pipeline across multiple platforms and channels.
Summary of Duties & Responsibilities
  • Design, develop, and implement AI/ML models and frameworks to enhance member experience and decision-making.
  • Extend intelligent search functionalities with advanced natural language and retrieval capabilities.
  • Build and manage ML pipelines connecting platform, AI, and channel teams (DevOps focus).
  • Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems.
  • Apply Model Context Protocols (MCPs) and integrate Knowledge Bases for contextual and dynamic AI responses.
  • Collaborate with cross-functional teams to embed AI-driven insights into digital member experiences.
  • Serve as a liaison between the enterprise AI team and application/DHP teams to ensure smooth integration.
  • Support onboarding, configuration, and integration of new AI components and models.
  • Participate in testing, validation, and continuous improvement of deployed AI models and systems.
  • Collaborate with data engineering teams to ensure AI models are integrated with data pipelines, data lakes, and enterprise systems.

Required Skills & Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience in Machine Learning, Artificial Intelligence, or related software engineering roles.
  • Proven experience designing and coding AI/ML solutions end-to-end (Python, PyTorch, TensorFlow, etc.).
  • Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
  • Experience implementing or utilizing Model Context Protocols (MCPs).
  • Understanding of Knowledge Base architecture and integration into enterprise applications.
  • Hands-on experience with DevOps practices for ML pipelines and model deployment (CI/CD, containerization, monitoring).
  • Experience deploying AI solutions in cloud environments (Azure or AWS preferred).
  • Familiarity with data storage, ETL processes, and integration with enterprise data systems.
  • Excellent communication and collaboration skills, able to interface between technical and business teams.

Preferred Qualifications
  • Experience in healthcare or member services domains.
  • Familiarity with intelligent search systems, recommendation engines, or conversational AI.
  • Knowledge of data governance, model security, and compliance best practices.
  • Experience working in agile environments (Scrum, Kanban).
  • Exposure to MLOps practices and cloud data pipelines.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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