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Rag Engineer Jobs in Massachusetts (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

DATAECONOMY

Gen AI Engineer

Boston, MA · On-site

You''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You''''ll participate in ...

DATAECONOMY

Gen AI platform Engineer

Boston, MA · On-site

You'''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You'''''ll participate in ...

NetBrain

AI Engineer

Burlington, MA

$150K - $180K/yr

What We Need We're looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines ...

Motion Recruitment Partners, LLC

Senior ML Engineer

Boston, MA · On-site

$113K - $155K/yr

... Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote ... You'll help build and scale enterprise AI platforms leveraging LLMs, RAG architectures, agentic AI ...

BeaconFire Inc.

Java Software Engineer

Boston, MA · On-site

$65K - $80K/yr

About the Role Title- Java Developer (GenAI) BeaconFire is an IT consulting firm. This is a project ... AI Integration: ● Implement RAG pipelines using Spring AI and LangChain4j with vector database ...

New

NetBrain

AI Engineer

Burlington, MA · On-site +1

$150K - $180K/yr

Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation ... Production Engineering & Reliability * Build automated evaluation and regression pipelines to ...

Photon

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Experience: 5 10 years Location: Onsite / Offshore (Flexible ... The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration ...

Vrtx

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

RAG pipelines, vector search, document retrieval, and the grounding patterns that make enterprise ... Partner closely with product, engineering, data, security, and UX teams to deliver common AI ...

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All JobsRag Engineer JobsRag Engineer Jobs in Massachusetts

Rag Engineer information

See Massachusetts salary details

$65K

$98.8K

$167.6K

How much do rag engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for rag engineer in Massachusetts is $98,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $114,700.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What are popular job titles related to Rag Engineer jobs in Massachusetts?

For Rag Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Rag Engineer jobs in Massachusetts look for?

The top searched job categories for Rag Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Rag Engineer jobs?

Cities in Massachusetts with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $98,849 per year, or $47.5 per hour.

Senior Machine Learning Engineer - Worcester - LLM/Ai/Rag

Motion Recruitment Partners, LLC

Worcester, MA • On-site

$104K - $143K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

About the Opportunity
A global provider of digital research and decision-support products is adding a Machine Learning Engineer to its Worcester, Massachusetts team. This hybrid position will focus on converting emerging AI capabilities into secure, scalable features used within complex professional software platforms.
The engineer will work across the applied AI stack, from model experimentation and retrieval design through production integration. Key areas include generative AI, large language model applications, intelligent search, and agent-based systems that help users navigate and interpret high-value information.
Core Requirements
Proven success delivering machine learning or artificial intelligence systems in production environments
Practical experience designing applications that use LLMs, AI agents, and tool-driven workflows
Knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval techniques
Familiarity with operational ML practices such as testing, deployment automation, observability, and model governance
Strong Python development skills and sound software engineering fundamentals
Experience building cloud-native solutions with AWS and container orchestration platforms such as Kubernetes
Preferred Background
Exposure to legal technology, enterprise search, publishing, compliance, or another information-dense product domain
At least 12 years of software development experience, or 8+ years of development experience together with a PhD
Bachelor's degree or higher in computer science, machine learning, engineering, or a closely related field
Your Impact
Key Responsibilities
Serve as a hands-on engineer responsible for design, implementation, testing, and delivery
Build AI-powered capabilities that support research, summarization, discovery, and knowledge-based decision making
Architect distributed machine learning services that can perform reliably across a large enterprise product ecosystem
Develop and connect retrieval pipelines, model services, agent frameworks, and supporting APIs
Partner with application, platform, data, and security teams to ensure solutions meet requirements for performance, resilience, privacy, and scale
Compensation and Benefits
Eligible for a performance-based bonus program
Employees receive access to:
Comprehensive medical insurance
Dental insurance
Vision insurance
Paid time off and company leave programs
401(k) retirement plan, including an employer match where applicable
This position follows a hybrid schedule based in Worcester, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.

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