Senior AI Engineer
Boston, MA · On-site
$120 - $150/hr
Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases * Hands‑on experience with OpenAI and Anthropic APIs
Boston, MA · On-site
$120 - $150/hr
Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases * Hands‑on experience with OpenAI and Anthropic APIs
Boston, MA · On-site
$120 - $150/hr
Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases * Hands‑on experience with OpenAI and Anthropic APIs
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Boston, MA · On-site
$129K - $193K/yr
Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). * Experience driving ...
Boston, MA · On-site
$129K - $193K/yr
Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). * Experience driving ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...
... RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs ...
... RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs ...
Boston, MA · On-site
$130 - $190/hr
Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision ...
Boston, MA · On-site
$130 - $190/hr
Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision ...
Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
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Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
Quincy, MA · On-site
$120K - $165K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$120K - $165K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
$111K - $146K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
$111K - $146K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Boston, MA · On-site
$70 - $110/hr
Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. * Deploy and manage models on Azure Machine Learning ...
Boston, MA · On-site
$70 - $110/hr
Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. * Deploy and manage models on Azure Machine Learning ...
Boston, MA · On-site
$250K - $450K/yr
Apply GenAI and LLMs to deliver measurable value by building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on ...
Boston, MA · On-site
$250K - $450K/yr
Apply GenAI and LLMs to deliver measurable value by building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on ...
Boston, MA · On-site
$124K - $170K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Boston, MA · On-site
$124K - $170K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$120K - $165K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$120K - $165K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$107K - $141K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$107K - $141K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$107K - $141K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Quincy, MA · On-site
$107K - $141K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
$16.45 - $17.59
6% of jobs
$18.64 is the 25th percentile. Wages below this are outliers.
$17.59 - $18.73
20% of jobs
$18.73 - $19.87
13% of jobs
The median wage is $20.69 / hr.
$19.87 - $21.01
15% of jobs
$21.01 - $22.15
13% of jobs
$22.76 is the 75th percentile. Wages above this are outliers.
$22.15 - $23.29
15% of jobs
$23.29 - $24.43
3% of jobs
$24.43 - $25.57
2% of jobs
$25.57 - $26.71
4% of jobs
$26.71 - $27.85
7% of jobs
$27.85 - $28.99
1% of jobs
$16
$21
$28
For Retrieval Augmented Generation Rag jobs in Boston, MA, the most frequently searched job titles are:
The top searched job categories for Retrieval Augmented Generation Rag jobs in Boston, MA are:

$120 - $150/hr
Other
Medical, Dental, Vision, Retirement
Re-posted 8 days ago
We're hiring a Senior AI Engineer to join the team here in Boston. This is an opportunity to have a significant impact on the product. Come help us scale to the next level!
You will have the opportunity to make a huge impact on a small yet growing team and culture. In this role, you will work directly on a cross-functional engineering team, reporting to the VP of Engineering.
What you'll doBuild AI Agent and Chat Capabilities – Develop AI-powered assistants using cutting‑edge technologies and tooling that help our customers run their small businesses
Deploy & Scale AI Features – Build infrastructure and pipelines to support real‑time AI interactions in a production environment
Experiment & Iterate – Prototype new AI applications, evaluate their performance, and continuously refine them based on user feedback
Partner with engineering and product leaders – Contribute strategically and play a key role in the product development process
5+ years of experience in AI, ML, or NLP‑related engineering roles
Proficiency in Python, with preferred experience in Django, React, and PostgreSQL
Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases
Hands‑on experience with OpenAI and Anthropic APIs
Familiarity with LLMs and NLP techniques, including prompt engineering, fine‑tuning, and evaluation
Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar
Experience with end‑to‑end MLOps practices: monitoring, deployment, and evaluation
Experience deploying AI‑powered applications in production environments (e.g., cloud‑based APIs, real‑time processing)
Experience working on an empowered team with Product and Design as equal counterparts
Experience in an Agile Scrum environment
Sharp problem‑solving instincts, especially in fast‑moving, ambiguous situations
Confidence to make decisions with best‑available rather than perfect information
A drive to understand why your systems behave the way they do, not just that they work, but how
Excellent written and verbal communication skills
A team‑first mentality and a love of learning
Low ego, high energy
Full Medical, Dental, and Vision Health Coverage
Computer and workspace enhancements
401(k) plan (non‑matching)
Unlimited vacation, 9 company holidays including election day, and 1 personal volunteer day a year
Company‑paid Wellhub membership for fitness and wellness
Dinner covered with Uber Eats + a stocked kitchen to keep you fuele
Opportunity to take on significant responsibility and ownership in scaling a product that can change the lives of home service pros
Topline Pro is committed to building an inclusive workplace and assembling a team from diverse backgrounds. We ensure that individuals with disabilities receive reasonable accommodation throughout the application and interview process. We strongly encourage applications from underrepresented candidates and those from nontraditional backgrounds.
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Internet and it
1 - 10 Employees
New York, NY, US
2020