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Remote Rag Jobs in Spring Valley, NY (NOW HIRING)

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

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

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

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

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

Prompt and Context Engineer This is a fully remote opportunity but is preferred to be worked from ... Use prompting, RAG knowledge-base creation, and fine-tuning to enhance our AI capabilities

DevOps Engineer (EST only)

New York, NY · Remote

$57.75 - $79/hr

CopilotIQ is looking for a DevOps Engineer (Individual Contributor, Full-Time remote position ... RAG, embeddings, etc.). Integrate ML workflows into standard CI/CD systems (GitHub Actions ...

VP of Engineering

New York, NY · On-site +1

$200K/yr

LLM applications, RAG, evals, and the economics of running AI in production. * A builder first. You ... NYC metro strongly preferred (hybrid); open to full remote within US time zones for an exceptional ...

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Product Manager AI Platforms

New York, NY · On-site +1

$144K - $250K/yr

... RAG), or machine learning technologies * Experience building AI-powered, data, platform, developer ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Showing results 41-60

Remote Rag information

See Spring Valley, NY salary details

$17

$21

$24

How much do remote rag jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote rag in Spring Valley, NY is $21.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $23.12 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 job categories do people searching Remote Rag jobs in Spring Valley, NY look for?

The top searched job categories for Remote Rag jobs in Spring Valley, NY are:

What cities near Spring Valley, NY are hiring for Remote Rag jobs?

Cities near Spring Valley, NY with the most Remote Rag job openings:

Infographic showing various Remote Rag job openings in Spring Valley, NY as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $45,320 per year, or $21.8 per hour.

Forward Deployed Engineering Expert (part-time)

TripleTen

New York, NY • Remote

$114K - $157K/yr

Part-time

Posted 10 days ago


Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings a Forward Deployed Engineering curriculum to life for students: hosts the group live events, reviews the work, runs the solution design and delivery reviews, and sets the technical bar for the people supporting alongside you. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run group live events, give real engineering feedback on student deployment deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually gone into client environments and carried AI deployments to production, has opinions about what a sound deployment looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: Working production engineers, not career changers, with six to fifteen years in, mostly backend, with senior and staff engineers and the occasional engineering manager. They've shipped real software for years and are moving deliberately into forward-deployed AI work; some are already interviewing for FDE roles while they study. What they're missing is agentic systems and the client-facing half of delivery.
Format: Group live events, 1:1s, and workshops timed around US Eastern Time - mostly 2:00 PM to 9:00 PM ET. Estimated 5 to 15 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Host live events focused on deploying AI systems inside a client's environment: discovery and scoping, agentic architecture, integration with enterprise systems, rollout, and adoption.
  • Run 1:1 sessions and tech mock interviews for students working through projects.
  • Review student projects against rubrics, including the client-facing side of the work: scoping decisions, demos, and how they explain a system to a non-technical stakeholder.
  • Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point.

Requirements
  • 7+ years of professional engineering experience, currently working at senior level or above (Senior/Lead/Staff Engineer, Forward Deployed Engineer, Solutions Architect, or technical lead on customer-facing delivery).
  • Has personally owned deployments end-to-end in real client or enterprise environments - first call through production go-live and adoption.
  • Depth across the FDE spine: customer discovery and design sessions, scoping and delivery planning under ambiguity, stakeholder management without formal authority; LLM and agent systems in production (prompting, tool/function calling, orchestration frameworks such as LangGraph/LangChain/CrewAI, guardrails, evals, RAG over enterprise data); APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major cloud.
  • Can explain why an architecture or scoping decision was made, not just how it was implemented, and can diagnose and critique someone else's work live.
  • Strong technical communication: translating between technical and business audiences, comfortable leading a live session, whiteboarding a solution, and writing clear, specific review feedback.
  • Strong English C1+ - instruction and review are in English for a US-based audience.
  • Comfortable using AI tools in day-to-day technical work.

Preferred experience:
  • Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction.
  • Has worked embedded within a customer team as their primary technical resource, or held a customer-facing engineering role (solutions engineer, solutions architect, technical consultant).
  • Production experience with agentic frameworks (LangGraph, LangChain, CrewAI) and MCP-based tool integrations into client systems.
  • Work experience at a recognizable company.
  • Familiarity with online education platforms or running programs.

What we can offer you
  • Fully remote work, with live sessions scheduled within US afternoon and evening hours.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!