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Ai Rag Jobs in Marshfield, MA (NOW HIRING)

Applied AI Engineer

Boston, MA · On-site

$109K - $163K/yr

  • Medical

  • Life

Architect and implement RAG systems to ground character responses in canonical knowledge, including ... The ability to communicate AI system behavior clearly to creative, brand, and non-technical ...

Principal AI Scientist and Lead

Boston, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Principal AI Scientist and Lead Location: Hybrid- Boston (2 days a week in our Boston Office ... Strong expertise in LLMs, agent frameworks, RAG architectures, vector databases, context ...

Principal AI Scientist and Lead

Boston, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Principal AI Scientist and Lead Location: Hybrid- Boston (2 days a week in our Boston Office ... Strong expertise in LLMs, agent frameworks, RAG architectures, vector databases, context ...

Principal AI Scientist and Lead

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... RAG, and enterprise integrations. • Develop agent capabilities, tools, APIs, and platform services that support scalable and secure AI adoption. Develop Predictive & Generative Models • Build AI ...

7AI is seeking an AI-Native Product Builder to design and launch intelligent security products that ... Experience building systems that incorporate GenAI (e.g., LLM integrations, RAG pipelines, agentic ...

Lead AI Engineer - AWS Platform

Boston, MA · On-site +1

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning ... Integrate AI workflows with enterprise systems (policy, claims, billing, etc.) * Ensure data ...

Lead AI Engineer

Boston, MA · Hybrid

$111K - $146K/yr

Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems * Ability to influence Product and Business decisions * Proven leadership on complex cross-functional initiatives Tech ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

... in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Experience in RAG (Retrieval-Augmented Generation) implementations. * Knowledge of MLOps tools and ... Generative AI & LLMs Soft Skills * Strong analytical and problem-solving abilities. * Excellent ...

Senior Software Engineer, Agentic AI

Boston, MA · On-site +1

$133K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As AI reshapes how software is built and how attackers exploit it, you'll help give defenders an ... RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that ...

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

... in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

... in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

... in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Senior Software Engineer, Agentic AI

Boston, MA · Remote

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As AI reshapes how software is built and how attackers exploit it, you'll help give defenders an ... RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that ...

Showing results 41-60

Ai Rag information

See Marshfield, MA salary details

$33K

$60.1K

$86.2K

How much do ai rag jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai rag in Marshfield, MA is $60,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $67,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What job categories do people searching Ai Rag jobs in Marshfield, MA look for?

The top searched job categories for Ai Rag jobs in Marshfield, MA are:

What cities near Marshfield, MA are hiring for Ai Rag jobs?

Cities near Marshfield, MA with the most Ai Rag job openings:

Applied AI Engineer

Hasbro

Boston, MA • On-site

$109K - $163K/yr

Full-time

Medical, Life

Re-posted 21 days ago


Hasbro rating

7.9

Company rating: 7.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
We're building something new inside our AI Studio, and we're looking for an Applied AI Engineer to help shape it with us. This role sits at the center of a new and constantly evolving set of challenges. The problems are still being defined, and the approaches are actively being invented. What excites us is the opportunity to determine what it truly means for an iconic character to think, respond, and stay true to itself - consistently, safely, and at scale.
We work where storytelling, imagination, and technology converge. Our focus is on the intelligence layer: the systems that determine how characters understand context, form responses, maintain a consistent voice, and hold carefully defined boundaries. This is where canon knowledge meets language model behavior, and where the quality of every character interaction gets defined and measured.
This role owns one of the most creatively and technically interesting areas on the team: making characters that actually feel like themselves. Working closely with engineers, creative partners, and brand leaders, the Applied AI Engineer will define prompt architecture, own guardrails and evaluation frameworks, and build the retrieval systems that ground characters in their own lore. Success here means developing the tools and practices that make character fidelity measurable.
What You'll Do
  • Design, implement, and continuously refine system prompts, character behavior definitions, and guardrails for our AI character platform.
  • Build evaluation frameworks to measure character fidelity, response quality, and safety - establishing quantitative standards for what "in character" actually means across interaction types.
  • Architect and implement RAG systems to ground character responses in canonical knowledge, including embedding strategies, vector retrieval, and relevance evaluation.
  • Partner with creative and brand teams to translate character attributes - personality, voice, canon, tone, and boundaries - into precise, testable AI behavior and system requirements.
  • Lead prompt versioning, regression testing, and model evaluation practices to ensure character behavior remains consistent across provider updates and model changes.
  • Integrate with multi-provider LLM APIs (OpenAI, Google Gemini, etc.) and make principled selection decisions as the landscape evolves.
  • Evaluate and adopt emerging techniques in prompt engineering, agentic design, and LLM evaluation that meaningfully advance the quality and reliability of character experiences.
What You Will Bring
  • 3+ years of experience building and shipping production LLM-powered systems.
  • Deep expertise in prompt engineering - system prompt design, few-shot techniques, chain-of-thought, multi-turn conversation management, and structured output.
  • Experience designing and implementing evaluation frameworks for LLM outputs, including adversarial and security testing.
  • Hands-on experience with RAG architectures: embedding models, vector stores, chunking strategies, and retrieval evaluation.
  • Proficiency with major LLM APIs (OpenAI, Google Gemini, Anthropic, or equivalent) and experience making principled decisions between them.
  • Strong Python skills and comfort working in AWS environments.
  • Familiarity with how voice AI services work (TTS, STT) - enough to understand how spoken delivery shapes prompt and response design.
  • The ability to communicate AI system behavior clearly to creative, brand, and non-technical collaborators.
Extra Credit
  • Familiarity with guardrails frameworks (NVIDIA NeMo Guardrails, Guardrails AI, or equivalent).
  • Conceptual understanding of fine-tuning and RLHF, even if not a primary area of focus.
  • Background in entertainment, gaming, or IP-driven product development.

The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$109,200-$163,800 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
  • Health & Wellness
  • Time Off to Recharge
  • Financial Well-being
  • Life & Family Support
  • Volunteer and Community Initiatives
  • Learning & Development
  • Exclusive Perks

Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

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