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Remote Rag Jobs in Piscataway, NJ (NOW HIRING)

BMC Software, Inc.

Data Scientist III

New York, NY · On-site +1

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 ...

Socotec

Junior Software Engineer

Manhattan, NY · On-site +1

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 ...

Socotec

Junior Software Engineer

Manhattan, NY · On-site +1

$110/day

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 ...

Socotec

Senior Software Engineer

Manhattan, NY · On-site +1

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 ...

Socotec

Senior Software Engineer

Manhattan, NY · On-site +1

$137/day

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 ...

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Remote Rag information

See Piscataway, NJ salary details

$17

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$24

How much do remote rag jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote rag in Piscataway, NJ is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.27 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 Piscataway, NJ?

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

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

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

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

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

Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Piscataway, NJ as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $45,569 per year, or $21.9 per hour.

Forward Deployed AI Engineer (Full Stack)

Mondo

Manhattan, NY • Remote

$95 - $115/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

Apply now: Forward Deployed AI Engineer — Full-Stack, location is Remote — North America with travel as needed. The start date is August 31, 2026 at the earliest for this 6-month contract-to-hire position.

Job Title: Forward Deployed AI Engineer — Full-StackLocation-Type: Remote — North America, with travel as neededStart Date Is: August 31, 2026 at the earliestDuration: 6 months, contract-to-hireCompensation Range: $95/hr – $115/hr W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description:Build and deploy a greenfield, full-stack agentic AI product that enables non-technical commercial users to incorporate LLM-powered workflows into their day-to-day work.

Day-to-Day Responsibilities:

  • Own the end-to-end development of a production AI application across Python backend and React frontend.

  • Design and build agentic LLM workflows, RAG pipelines, tool integrations, and structured AI outputs.

  • Develop solutions within Palantir Foundry and AIP, including data, ontology, and AI-driven workflow integrations.

  • Translate ambiguous business requirements into scalable technical solutions and production-ready features.

  • Partner directly with business users to understand workflows, gather feedback, and continuously improve the product.

  • Design intuitive AI-powered user experiences for non-technical commercial and sales users.

  • Make independent architecture and technical decisions as the initial primary engineer on the product.

  • Instrument and evaluate deployed AI functionality based on adoption, efficiency, savings, and other measurable outcomes.

  • Maintain, iterate, and improve solutions after deployment rather than stopping at proof-of-concept stage.

  • Travel periodically to work directly with stakeholders and end users as needed.

Minimum Requirements:

  • Strong full-stack engineering experience with hands-on ownership of both backend and frontend development.

  • Advanced Python development experience.

  • React frontend development experience.

  • Production experience building agentic LLM applications.

  • Hands-on experience developing RAG-based systems and retrieval workflows.

  • Proven track record of deploying AI-powered products into production environments. Must be able to describe at least one AI application you have personally built that reached production and produced measurable business outcomes (revenue, savings, efficiency, adoption, or productivity).

  • Ability to clearly articulate measurable business impact from previously deployed products, such as cost savings, efficiency gains, revenue impact, or user adoption.

  • Experience embedding with business users, gathering requirements firsthand, influencing product direction, and iterating based on user feedback rather than simply implementing engineering tickets.

  • Demonstrated experience designing AI workflows for non-technical users with attention to usability, trust, and adoption—not just implementing frontend components.

  • Experience serving as the primary technical owner for an AI product or major feature, responsible for architecture decisions, prioritization, and successful deployment within a business or enterprise environment.

  • Comfortable operating in ambiguous environments and advising stakeholders on what should be built rather than simply acting as an order taker.

Preferred Qualifications:

  • Palantir Foundry and/or AIP experience.

  • Previous Palantir Forward Deployed Engineer experience or experience working within a Foundry-enabled organization.

  • Experience fine-tuning or implementing small language models.

  • Experience building AI evaluation and instrumentation frameworks using tools such as Braintrust or Statsig.

  • Formal design training, an MFA, or prior experience spanning both design and engineering disciplines.

  • Experience developing AI products for commercial, sales, or other non-technical enterprise user groups.