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Remote Rag Jobs in Hoboken, NJ (NOW HIRING)

This role will be fully remote in the US. We're unable to offer visa sponsorship at this stage. In ... You'll work hands-on with LLMs, RAG architecture, prompt engineering, and agentic AI frameworks ...

Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ... remote day Salary: $110-140k All your information will be kept confidential according to EEO ...

Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ... remote day Salary: $137-180k All your information will be kept confidential according to EEO ...

Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ... remote day Salary: $110-140k All your information will be kept confidential according to EEO ...

Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ... remote day Salary: $137-180k All your information will be kept confidential according to EEO ...

AI/ML Software Engineer

New York, NY · On-site +1

$130K - $160K/yr

... remote (Friday). Key Responsibilities * Design, build, and maintain production-grade backend ... generation (RAG), and agent frameworks. * Write clean, testable, and well-documented code ...

New

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... RAG) * Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory ...

Showing results 21-40

Remote Rag information

See Hoboken, NJ salary details

$18

$23

$26

How much do remote rag jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote rag in Hoboken, NJ is $23.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.00 per hour, depending on experience, location, and employer.

What is a Remote RAG?

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 the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG 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 are popular job titles related to Remote Rag jobs in Hoboken, NJ?

For Remote Rag jobs in Hoboken, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Rag jobs in Hoboken, NJ look for?

The top searched job categories for Remote Rag jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Remote Rag jobs?

Cities near Hoboken, NJ with the most Remote Rag job openings:

$97K - $182K/yr

Full-time

Re-posted 14 days ago


Job description

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time.

Position Summary: Full Stack AI Developer to support enterprise AI initiatives across underwriting, claims, operations, and digital platforms. This role combines full-stack software engineering with applied AI/ML and Generative AI development, including Large Language Models (LLMs), Multi‑agent system design, and intelligent automation.

Essential Duties and Responsibilities:
  • Design and develop full-stack AI-enabled applications using Python, React/Next.js, and REST/GraphQL APIs.
  • Build and integrate Generative AI solutions including copilots, document intelligence, and conversational workflows.
  • Implement agentic AI patterns, RAG architecture, MCP servers and workflow orchestration.
  • Develop scalable backend services and microservices.
  • Implement parameter-efficient fine-tuning (PEFT) techniques like LoRA/MLoRA.
  • Implement MLOps/LLMOps pipelines with CI/CD using Azure DevOps.
  • Deploy and manage AI applications on Azure Cloud.
  • Ensure security, compliance, and responsible AI practices.
  • Mentor junior developers and conduct code reviews.
  • Participate in code reviews and provide mentorship to junior developers.
Education and Experience:
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field; or equivalent training/experience required.
  • 5+ years of experience in full-stack development (Python, React, .NET, SQL, PostgreSQL) required.
  • 3+ years of experience with Generative AI and Agentic AI architecture required.
  • Experience with AI/ML frameworks and cloud-based AI services required.
  • AI and Cloud certifications preferred.
  • Experience in the insurance industry is strongly preferred.
Skills:
  • Proficiency in Python, React, .NET (Framework/Core), SQL, PostgreSQL.
  • Multi‑agent system design (agent orchestration, planning, coordination, tool invocation)
  • Experience with Azure DevOps, Azure Foundry, and Azure Cloud services
  • Implementation experience of RESTful & event-driven architectures, and container technologies (Docker/Kubernetes).
  • Experience with RAG architectures, techniques like LoRA/mLoRA and MCP Servers
  • Familiarity with DevOps practices.
  • Knowledge of data integration, ETL processes, and data governance frameworks.
  • Experience with Agile/Scrum methodologies.
  • Excellent problem-solving, troubleshooting, and documentation skills.
  • Strong oral and written communication skills with a customer service focus.

The salary range for this role is $97,300-$182,500. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs.  Base pay is just one component of GNY’s total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.