1

Rag Engineer Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

next page

Showing results 1-20

Rag Engineer information

See Boston, MA salary details

$64.6K

$98.3K

$166.8K

How much do rag engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for rag engineer in Boston, MA is $98,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $114,100.00 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 Boston, MA?

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

What job categories do people searching Rag Engineer jobs in Boston, MA look for?

The top searched job categories for Rag Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Rag Engineer jobs?

Cities near Boston, MA with the most Rag Engineer job openings:

Infographic showing various Rag Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $98,326 per year, or $47.3 per hour.

AI/ML Engineer - Remote

Boston, MA • Remote

$200 - $350/hr

Full-time

Posted 4 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. 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 optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.