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Remote Rag Jobs in Boston, MA (NOW HIRING)

Starburst

Senior Technical Writer

Boston, MA · Remote

Strong plus: familiarity with how documentation is consumed by AI systems (llms.txt, RAG-friendly ... Remote, with a preference for the US East Coast time zone

Tempus

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

... support RAG and agentic memory. * Cloud Architecture: Hands-on experience with GCP (BigQuery ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Kobie Marketing

AI Engineer

Boston, MA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands ...

eNett

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

WEX

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

Humana

Senior AI Implementation Lead

Boston, MA · On-site +1

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 ...

Humana

Senior AI Implementation Lead

Boston, MA · On-site +1

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 ...

apiphani

Senior Software Engineer (AI / LLMs)

Boston, MA · Remote

$120K - $160K/yr

Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent ... RAG), and intelligent agents. What You'll Do * Design and implement backend services that enable ...

Humana

Senior AI Implementation Lead

Boston, MA · On-site +1

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 ...

Aprio

Senior AI Product Associate, IT

Boston, MA · On-site +1

$104K - $160K/yr

Exposure to agentic AI workflows, RAG architectures, or LLM integration patterns. * Familiarity ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote rag in Boston, MA is $23.36, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $24.81 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?

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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.

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Remote Rag jobs near you

Senior Product Owner/ Forward Deployed Executive - AI Delivery

Provectus

Boston, MA • Remote

Full-time

Re-posted 14 days ago

Job description

Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements.

We are hiring a Senior Solution Owner to sit at the intersection of frontier AI and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs, Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation, packaging reusable IP into repeatable outcomes and getting hands on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.

What You Will Do:
  • Define value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales and delivery
  • Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
  • Run market and use case validation, workshops, and user research, and turn findings into demos and first deployments
  • Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
  • Build with the Provectus delivery stack, including Claude Code, AWOS, MCP servers, Skills, and plugins
  • Define solution vision and roadmap for GenAI and agentic engagements, RAG, and agentic workflows
  • Break complex work into incremental releases and balance delivery against technical debt and architecture
  • Lead Agile execution across backlog, sprint planning, and release process, following a Sprint, Enable, Realize engagement model
  • Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
  • Define success metrics and analytics, and drive continuous improvement through root cause analysis
  • Support change management, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
  • Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
  • Proven ability to lead or materially contribute to a Provectus Program or Blueprint from zero to one and scale, landing it as real client delivery
  • Track record operating forward deployed or embedded with clients, as either a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
  • 5 to 7+ years in solution or product ownership or delivery leadership
  • 3 to 5+ years with AI/ML, GenAI, agentic systems, or data platforms
  • Strong Agile/Scrum experience and familiarity with outcome based, milestone priced engagements
  • Working knowledge of Claude, Claude Code, and Cowork, including building skills, workflows, and productivity tooling
  • Comfort with MCP integrations, connectors, and custom harnesses
  • Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, well enough to assess quality and translate to client stakeholders
  • Data fundamentals, including what ETL/ELT, data modeling, and governance mean in an enterprise context
  • Familiarity with AWS as a primary cloud platform, and what MLOps and AI observability involve
  • Strong design thinking, data driven decision making, and executive storytelling
  • Bias to action and comfort operating with structured problem solving in ambiguity
  • Enough engineering empathy to earn credibility with senior engineers and architects on day one
  • Fluent English
Nice To Have:
  • A second priority vertical beyond your primary FSI or HCLS focus
  • Prior experience in a Premier AWS or Anthropic partner environment
  • Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
  • Certifications such as CSPO, SAFe PO/PM, or AWS/Azure/GCP
  • Software development background
What We Offer:
  • Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
  • The chance to shape how leading enterprises adopt AI, from strategy through first deployment
  • A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
  • A growing AI delivery practice where you help build the tooling and frameworks, not just use them
  • Remote friendly culture

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.