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Remote Rag Jobs in Cincinnati, OH (NOW HIRING)

Data Engineer- Full Stack

Mason, OH · Remote

$138.80K - $232.70K/yr

... generation (RAG), and intelligent automation - into the data platform. You will lead the ... Remote #LI-CH2 What you'll do... * Design and implement end-to-end data pipelines (ETL/ELT) that ...

Although the position will be remote, there might be some occasional travel to ERPS facilities or ... Experience with LangChain, vector databases, RAG, or MCP frameworks. * Familiarity with OCI and ...

Although the position will be remote, there might be some occasional travel to ERPS facilities or ... Experience with LangChain, vector databases, RAG, or MCP frameworks. * Familiarity with OCI and ...

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How much do remote rag jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote rag in Cincinnati, OH is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.92 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 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.

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.
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Senior AI Engineer - Agentic Systems and LLM

Senior AI Engineer - Agentic Systems and LLM

RAKS Group LLC

Mason, OH • On-site, Remote

$98.30K - $134.50K/yr

Other

Posted 15 days ago


Job description

We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.

Required Skills

- AI, LLM, Agentic (Python)

Job Duties

- Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain Integrate AI systems with APIs, backend services, and cloud platforms Establish evaluation, reliability, and performance strategies (accuracy, latency, cost) Job Requirements - - 2/3 years hand-on experience developing Agentic workflows Strong Python expertise with experience building and deploying production-grade backend systems Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) Strong system design skills with experience building and scaling cloud-based applications

Desired Skills & Experience

- Experience working in healthcare insurance payer space (payer domain knowledge) Ideally someone onsite 3x week but very open to 100% remote for the right candidate One