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Remote Rag Jobs in Paterson, NJ (NOW HIRING)

NxT Level

Founding Full Stack Engineer

Manhattan, NY · Remote

$180K - $220K/yr

Remote (U.S.) -- strong preference for NYC | 4+ hours overlap with Eastern Time daily Compensation ... RAG pipelines * anti-hallucination scaffolding and reliability guardrails * Contribute to backend ...

Apply Early

NxT Level

Founding Full Stack Engineer

Manhattan, NY · Remote

$180K - $220K/yr

Remote (U.S.) -- strong preference for NYC | 4+ hours overlap with Eastern Time daily Compensation ... RAG pipelines * anti-hallucination scaffolding and reliability guardrails * Contribute to backend ...

JLL

Staff Software Engineer - AI Team

New York, NY · Remote

Today, that is an MCP Gateway and a shared RAG platform. Tomorrow, it will be whatever the AI ... Remote -Chicago, IL, Los Angeles, CA, New York, NY, San Francisco, CA, Texas - Other If this ...

Motorola

Design Technologist - 2026 Coop

New York, NY · Remote

$30 - $36/hr

You won't just call an API; you'll optimize prompts and RAG flows to improve the overall UX. * ... Candidate can reside anywhere in the US. #LI-MP2 #LI-REMOTE Basic Requirements * High School ...

MLabs

Full Stack AI Engineer

New York, NY · On-site +1

$140K - $200K/yr

Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European ... Familiarity with vector search technologies, retrieval-augmented generation (RAG), and asynchronous ...

Syllo

Sales Solution Architect

New York, NY · Remote

$130 - $170/hr

Familiarity with LLM fundamentals (RAG, prompt engineering) and the ability to navigate API-driven ... As a remote company, you use tools like Slack, Loom, and Notion to keep the sales and product teams ...

Apply Early

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

... RAG systems. * 3+ years of experience with modern NLP tools and machine learning libraries (scikit ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Syllo

Sales Solution Architect

New York, NY · On-site +1

$130K - $170K/yr

Familiarity with LLM fundamentals (RAG, prompt engineering) and the ability to navigate API-driven ... United States - Remote Pay Range $130,000 - $170,000 USD

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed. Desired Skills Data Engineering * Strong programmingexpertisein Python and SQL, including data engineering ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed. Desired Skills Data Engineering * Strong programmingexpertisein Python and SQL, including data engineering ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed. Desired Skills Data Engineering * Strong programmingexpertisein Python and SQL, including data engineering ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed. Desired Skills Data Engineering * Strong programmingexpertisein Python and SQL, including data engineering ...

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

... RAG systems. * 5+ years of experience with modern NLP tools and machine learning libraries (scikit ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

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How much do remote rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote rag in Paterson, NJ is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.22 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?

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

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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Founding Full Stack Engineer

Founding Full Stack Engineer

NxT Level

Manhattan, NY • Remote

$180K - $220K/yr

Full-time

Posted 20 days ago

Be an early applicant

Job description

Founding Engineer (AI Agents + Frontend Craft)

Location: Remote (U.S.) — strong preference for NYC | 4+ hours overlap with Eastern Time daily
Compensation: $180,000–$220,000 base
Equity: 0.2%–0.5%
Visa: No New sponsorship (H1B transfers and TNs only)

About Our Client

Our client is building AI infrastructure for trial attorneys. The goal is simple (and high-stakes): deliver AI output reliable enough to be used in litigation workflows where accuracy, traceability, and defensibility matter. They're a small, fast-moving team (4–5 people) looking for a founding engineer who can ship product quickly while building the agent systems and evaluation loops that keep quality high.

The Role

This is a high-ownership, high-range founding role. You'll own frontend craft for the primary AI interface and go deep on agent architecture—orchestrators, sub-agents, tool-use patterns, and evaluation loops. You'll move between polished UX work and core agent infrastructure, often in the same week (sometimes the same day).

If you thrive in early-stage environments and want to build a product where correctness is non-negotiable, this role is built for you.

What You'll Do

  • Build and ship across the full stack—React, Next.js, TypeScript, backend services, and AI systems—often within the same day
  • Own third-party integrations end-to-end (scoping → implementation → deployment), including tools like Clio, iManage, Salesforce, and others
  • Collaborate closely with a small team of full-stack and data engineers to improve system stability, performance, and delivery velocity
  • Develop AI-powered features for litigation workflows, including:
    • document extraction
    • agent orchestration (orchestrators + sub-agents)
    • RAG pipelines
    • anti-hallucination scaffolding and reliability guardrails
  • Contribute to backend optimization and system upgrades to improve reliability at scale
  • Move fast when issues arise—this is a startup where adaptability and urgency are part of the job

What Our Client Is Looking For

  • Strong full-stack fundamentals with excellent frontend craft (React/Next.js/TypeScript)
  • Practical experience building agentic systems or strong interest with the ability to learn quickly: tool-use patterns, orchestration, retrieval, and eval loops
  • Experience owning integrations with third-party APIs and systems (auth, rate limits, edge cases, monitoring)
  • A “ship it” mindset: you can iterate fast without sacrificing quality and you can explain what you built
  • Comfortable in ambiguity and excited by early-stage ownership
  • Strong communication skills—clear, direct, and collaborative

Compensation & Equity

  • Base salary: $180,000–$220,000
  • Equity: 0.2%–0.5% (founding-hire level ownership)

Location & Work Authorization

  • Remote U.S.-based, with strong preference for NYC
  • Eastern Time overlap: 4+ hours daily
  • No visa sponsorship (H1B transfers and TNs only)

Interview Process

  1. Intro Call (20–30 min): founders assess communication style, startup readiness, and how you work day-to-day (no technical evaluation)
  2. Take-Home Challenge: timed coding exercise + Loom walkthrough explaining approach and decisions (tests shipping ability and self-auditing)
  3. Technical Deep Dive (60 min): live walkthrough of take-home with founders—tests depth of understanding, decision-making, and ability to defend tradeoffs