1

Retrieval Augmented Generation Jobs in Massachusetts

W2/C2C This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

New

Build Retrieval-Augmented Generation (RAG) pipelines to improve the quality of AI-generated responses. Collaborate with various stakeholders to integrate and deploy AI models into production ...

Build and optimize sophisticated Retrieval-Augmented Generation (RAG) systems that accurately pull from vast clinical and regulatory data sources to assist in document creation. * Engineer the data ...

Senior Principal AI Engineer

Boston, MA

$136K - $187K/yr

This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks ...

Data Engineer

North Reading, MA · On-site

$117K - $140K/yr

Preferred : • Familiarity with Retrieval Augmented Generation (RAG) data structures and experience building semantic layers for LLM or AI agent consumption. Company : BRUNT Workwear is a consumer ...

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks ...

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

Lead AI Engineer

Quincy, MA · On-site +1

$180K - $280K/yr

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

next page

Showing results 1-20

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Massachusetts?

The most popular types of Retrieval Augmented Generation jobs in Massachusetts are:

What job categories do people searching Retrieval Augmented Generation jobs in Massachusetts look for?

The top searched job categories for Retrieval Augmented Generation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Retrieval Augmented Generation jobs?

Cities in Massachusetts with the most Retrieval Augmented Generation job openings:

Infographic showing various Retrieval Augmented Generation job openings in Massachusetts as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

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

Motion Recruitment Partners, LLC

Boston, MA • On-site

$113K - $155K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description


A global provider of data-driven technology solutions is seeking a Senior Machine Learning Engineer to join its Boston-area team in a hybrid capacity. This engineer will guide the design of scalable artificial intelligence platforms and advanced agent-based systems used across a broad suite of enterprise products.
The position centers on developing modern AI capabilities for a complex professional-information environment. Key initiatives include intelligent research tools, retrieval-augmented generation systems, large language model applications, and production-ready autonomous workflows. You will also help set architectural direction, define engineering best practices, and improve the reliability and security of the broader AI ecosystem.
Core Qualifications
Deep knowledge of machine learning systems and autonomous agent design
Hands-on experience creating LLM applications and retrieval-augmented generation solutions
Practical experience working with vector search technologies and vector data stores
Familiarity with production ML operations, monitoring, and deployment practices
Strong Python development skills
Working knowledge of AWS infrastructure and Kubernetes environments
Preferred Background
Experience delivering software for legal technology, compliance, financial services, or another regulated domain
At least 12 years of software engineering experience, or 8 or more years combined with a PhD
Bachelor's degree or higher in computer science, engineering, data science, or a related discipline
Key Responsibilities
Day-to-Day Work
This is a highly hands-on engineering position
Create, productionize, and maintain sophisticated AI and ML capabilities for enterprise research applications
Architect and enhance distributed machine learning services and scalable platform components
Build agentic applications, semantic retrieval pipelines, and supporting orchestration frameworks
Partner with software, platform, and security teams to deliver dependable, secure, and high-performing AI systems
Compensation
Eligible for a performance-based bonus
Benefits include
Comprehensive medical coverage
Dental insurance
Vision insurance
Paid vacation and personal time
401(k) retirement plan with employer match, where offered
This position follows a hybrid schedule in Boston, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.