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Remote Rag Jobs in Lexington, MA (NOW HIRING)

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 ...

Novocure

AI Intern - IP Operations

Boston, MA · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Enhance Retrieval-Augmented Generation (RAG) workflows and improve AI accuracy and reliability

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How much do remote rag jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote rag in Lexington, MA is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $25.67 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

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What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

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Remote Rag jobs near you

Senior AI Engineer (US Remote)

Motorola Solutions, Inc.

Waltham, MA • On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Job description

Company Overview
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Noggin, a Motorola Solutions company, is a leader in integrated resilience management technology, offering a next-generation, cloud-based platform that combines 10 essential solutions into one unified system. Our award-winning platform seamlessly integrates operational and third-party risk management, operational resilience, business continuity, incident and crisis management, emergency management, and security and safety operations.
The Product Engineering area is responsible for designing, writing, testing and deploying the code for our software products at Noggin.
Job Description
Join Motorola Solutions as a Senior AI Engineer and help shape the future of AI-powered products and services. Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building production-scale solutions using AWS Bedrock and cutting-edge AI technologies.
As a senior member of our AI engineering team, you'll provide technical leadership, mentor engineers, and drive best practices in GenAI implementation. You'll work directly with Product Management and Software Engineering teams to transform AI use cases from concept to production, ensuring quality, safety, and scalability at every step.
Tech Stack
Core AI Technologies:
  • AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails)
  • OpenSearch & Vector Databases
  • RAG (Retrieval-Augmented Generation) architectures
  • Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents)

Development Stack:
  • Python (AI/ML development & data processing)
  • NodeJS with TypeScript (backend services)
  • AWS ecosystem (S3, IAM, CloudWatch, etc.)

AI Engineering Practices:
  • Prompt engineering & optimization
  • Model evaluation & testing frameworks
  • AI observability & monitoring
  • Responsible AI & safety practices

Skills & Experience
Required:
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years in software development with 2+ years focused on production AI/GenAI systems
  • Deep, hands-on experience with AWS Bedrock, Knowledge Bases, and OpenSearch
  • Proven track record designing and implementing RAG architectures at scale
  • Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development
  • Experience with agentic frameworks and AWS Bedrock Guardrails
  • Strong understanding of AI/ML concepts: models, agents, embeddings, vector databases
  • Hands-on experience with prompt engineering and model evaluation methodologies
  • Knowledge of AI observability, monitoring, and responsible AI practices

Valued:
  • Experience with multi-modal AI capabilities
  • Familiarity with model distillation and cost optimization techniques
  • Background in AI safety, bias detection, or model explainability
  • Contributions to open-source AI projects or research publications

Key Responsibilities
  • Technical Leadership: Apply your expertise in GenAI, AWS Bedrock, and related technologies to drive architectural decisions and coach team members
  • End-to-End AI Development: Design, build, and refine AI use cases including guardrails, evaluation frameworks, and quality assurance
  • Collaboration: Partner with Product Management and Software Engineering teams to realize AI features from concept to production
  • Advisory Role: Provide technical guidance to management, team leads, and customers on AI implementation strategies
  • Community Engagement: Actively contribute to technology chapter meetings and knowledge sharing

What You'll Work On
  • Building production-scale GenAI applications using AWS Bedrock and foundation models
  • Implementing RAG systems with Knowledge Bases and vector search
  • Designing AI agents that can reason, plan, and execute complex workflows
  • Establishing prompt engineering best practices and evaluation pipelines
  • Ensuring AI safety through guardrails and responsible AI practices
  • Optimizing AI system performance, cost, and observability

Target Base Salary Range: $180,000 USD - $210,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
Note: Candidates located near the Waltham, MA office with the ability to work a hybrid schedule is preferred.
#LI-MP2
#LI-REMOTE
Basic Requirements
  • 8+ years experience in software development
  • AND 2+ years with AI/GenAI systems in production environments
  • AND 2+ years with AWS Bedrock
  • AND 2+ years with Python for AI/ML development
  • AND 2+ years with NodeJS/TypeScript for backend services
  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
Our U.S. Benefits include:
  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!

EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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