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Remote Retrieval Augmented Generation Jobs in Boston, MA

Motion Recruitment

Lead Data Scientist

Boston, MA · Remote

Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire ... Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI ...

Motion Recruitment

Senior Data Scientist

Boston, MA · Remote

... a 6-month remote contract-to-hire opportunity. You'll help develop enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

RAG (Retrieval-Augmented Generation) architectures * Agentic frameworks (LangChain, LlamaIndex, or ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Wsgr

Innovations and AI Solutions Engineer

Boston, MA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... and retrieval-augmented generation (RAG) applications. * Familiarity with CI/CD pipelines, build ...

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 ...

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 ...

Draper

AI Cyber Principal

Cambridge, MA · On-site +1

$100K - $275K/yr

A strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI. * Proficiency in coding languages like Python, as well as IaC (Infrastructure as Code ...

Wsgr

Senior AI Security Engineer

Boston, MA · On-site +1

$124K - $170K/yr

Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows, retrieval-augmented generation (RAG) pipelines, and MCP server deployments across firm systems * Lead ...

UKG, Inc.

Software Development Engineer

Lowell, MA · On-site

Familiarity with retrieval-augmented generation, vector search, AI evaluation, and multi-agent systems. * Experience with observability platforms such as OpenTelemetry, Azure Monitor, Application ...

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All JobsRetrieval Augmented Generation JobsRemote Retrieval Augmented Generation JobsRemote Retrieval Augmented Generation Jobs in Boston, MA

Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Boston, MA?

The most popular types of Retrieval Augmented Generation jobs in Boston, MA are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in Boston, MA?

For Remote Retrieval Augmented Generation jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in Boston, MA look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Retrieval Augmented Generation jobs?

Cities near Boston, MA with the most Remote Retrieval Augmented Generation job openings:

Remote Retrieval Augmented Generation jobs near you
Infographic showing various Remote Retrieval Augmented Generation job openings in Boston, MA as of August 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution.

Lead Data Scientist

Motion Recruitment

Boston, MA • Remote

Contractor

Re-posted 19 days ago

Job description

Job Description

Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire opportunity. You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems.

This is a highly visible opportunity for someone who wants to shape the future of enterprise AI. You'll help define AI strategy, lead the design of next-generation intelligent systems, and partner across engineering, product, and business teams to bring advanced AI capabilities into production.

Contract Duration: 6 Months (Contract-to-Hire)

Required Skills & Experience

· Bachelor's degree required; Master's degree preferred
· 8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields
· Strong experience with Large Language Models (LLMs) and Generative AI applications
· Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
· Expertise in machine learning, NLP, and information retrieval techniques
· Experience building and deploying production AI/ML systems at scale
· Strong Python programming skills
· Experience working with distributed systems and cloud-based AI environments
· Deep understanding of agentic AI architectures and autonomous workflows
· Proven ability to lead technical initiatives and influence AI strategy
· Excellent communication, stakeholder management, and problem-solving skills

Desired Skills & Experience

· Experience leading enterprise-scale AI platform initiatives
· Familiarity with vector databases and semantic search technologies
· Knowledge of legal, regulatory, or document-intensive data environments
· Experience with model evaluation, monitoring, governance, and optimization
· Exposure to workflow automation and intelligent agent frameworks
· Experience mentoring Data Scientists and Machine Learning Engineers
· Advanced degree in Data Science, Computer Science, Machine Learning, or a related field

What You Will Be Doing

Tech Breakdown
· 40% LLMs, RAG, and Generative AI
· 25% Machine Learning & NLP
· 20% Agentic AI & Intelligent Automation
· 15% Technical Leadership & AI Strategy

Daily Responsibilities
· 65% Hands On
· 15% Leadership & Mentorship
· 20% Team Collaboration

You'll lead the design and deployment of advanced AI systems, establish best practices for AI development, mentor team members, collaborate with leadership on AI strategy, and drive the adoption of LLMs, RAG, and agentic AI technologies across enterprise-scale platforms.

Apply