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Retrieval Augmented Generation Jobs in Pawtucket, RI

Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

Retrieval Augmented Generation (RAG) * Prompt engineering * Context management * Agent orchestration * Tool integration * Ensure secure, compliant, and responsible use of AI technologies ...

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Retrieval Augmented Generation (RAG) * Prompt engineering * Context management * Agent orchestration * Tool integration * Ensure secure, compliant, and responsible use of AI technologies ...

Chief Technology Officer

Mansfield, MA · On-site

$200K - $225K/yr

Demonstrated experience defining and executing enterprise AI strategies, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Generative AI, intelligent automation, AI agents ...

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 popular job titles related to Retrieval Augmented Generation jobs in Pawtucket, RI? For Retrieval Augmented Generation jobs in Pawtucket, RI, the most frequently searched job titles are:
What cities near Pawtucket, RI are hiring for Retrieval Augmented Generation jobs? Cities near Pawtucket, RI with the most Retrieval Augmented Generation job openings:

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

Motion Recruitment Partners, LLC

Providence, RI • On-site

$105K - $145K/yr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description


A well-established enterprise information and analytics organization is adding a Senior Machine Learning Engineer to its Providence team. Working on a hybrid schedule, this person will lead technical efforts that turn emerging AI concepts into durable, large-scale product capabilities.
You will focus on intelligent tools built for research-intensive professional users, with an emphasis on generative AI, semantic search, retrieval frameworks, and multi-step agent workflows. The role blends hands-on development with technical leadership: evaluating new approaches, shaping reusable platform patterns, and establishing standards that help AI solutions operate consistently across a global product portfolio.
Required Skills & Experience
Extensive experience designing and delivering applied machine learning solutions
Proven ability to build systems powered by large language models and AI agents
Strong understanding of retrieval-augmented generation, embeddings, and vector-based search
Experience supporting model delivery through MLOps tooling and production practices
Advanced Python programming ability
Experience deploying cloud-native services with AWS and Kubernetes
Desired Skills & Experience
Prior work in legal technology, knowledge management, publishing, or another information-rich industry
12 or more years of software development experience, or at least 8 years plus a doctorate
Degree in computer science, machine learning, engineering, or a comparable technical field
What You Will Be Doing
Daily Responsibilities
100% hands-on technical contribution
Develop and release AI features that improve how professionals discover, evaluate, and use complex information
Create scalable services and shared infrastructure for distributed machine learning applications
Implement retrieval pipelines, agent orchestration, and supporting components for generative AI products
Coordinate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements
The Offer
Performance bonus eligibility
You will receive the following benefits
Medical insurance options
Dental coverage
Vision coverage
Paid time away from work
401(k) plan with company matching when applicable
This opportunity follows a hybrid work model in Providence, Rhode Island.
Applicants must have unrestricted authorization to work in the United States on a full-time basis now and in the future.