Skill
Retrieval-Augmented Generation (RAG)
Data Science, Analytics and AI/ML
Retrieval-Augmented Generation (RAG) is an AI architecture that pairs a language model with a retrieval mechanism, typically a vector database, to pull in relevant external documents at query time and incorporate them into the model's generated response. This reduces hallucinations and allows the model to answer questions using current or proprietary information beyond its original training data. It is widely used by AI engineers building enterprise search tools, customer support bots, and knowledge assistants.
Retrieval-Augmented Generation (RAG) in the job market
Last checked October 27, 2026
- Open roles
- 97
- Employers
- 49
- Median pay
- $220,000
- Disclose pay
- 69%
on Career App
hiring for it
from 67 roles
of these roles
Open roles requiring Retrieval-Augmented Generation (RAG) (97)
Senior Software Engineer, Ontology & Reasoning Systems (819)
Protegrity
New York, NY · $237,600 – $266,700 · Remote
Design and build the ontology and reasoning layer for Protegrity's data security platform, formalizing complex domains into entities and rules that support deterministic machine reasoning with full traceability. This role suits engineers with strong foundations in logic, graph systems, and formal modeling who want to bridge LLM-powered data extraction with auditable, explainable reasoning.
Listed on Protegrity’s careers site · Apply there ↗
AI Full Stack Engineer
Mem0
Full-time · San Francisco, CA · $150,000 – $250,000
Full-stack engineer building the user-facing dashboard and developer surfaces for an AI memory platform, responsible for both frontend design and backend feature ownership across a full-stack Python and JavaScript stack. This role suits engineers with shipped AI products, design sensibility, and comfort owning end-to-end features from concept to production.
Listed on Mem0’s careers site · Apply there ↗
Deployed Architect, Professional Services (NYC)
LangChain
Full-time · New York, NY · $170,000 – $300,000
This role brings together infrastructure engineering and AI application development to architect production-grade agent systems for enterprise customers. It suits someone with deep cloud and Kubernetes expertise who also understands LLM frameworks and can work hands-on with customers to translate their needs into robust deployments.
Listed on LangChain’s careers site · Apply there ↗
Associate Field Engineer
Pinecone
New York, NY · $90,000 – $105,000
Pinecone seeks an entry-level technical professional to support customers in evaluating and deploying its AI knowledge platform, combining hands-on product troubleshooting with customer success collaboration. The role suits recent graduates or early-career engineers interested in AI infrastructure who want to grow technical depth while directly influencing both customer outcomes and product development.
Listed on Pinecone’s careers site · Apply there ↗
Forward Deployed Engineer Intern
Baidu
Internship · Mountain View, CA
A hands-on internship at Baidu USA where you'll work directly with customers building AI applications, helping them integrate search APIs into their systems and troubleshoot production deployments. This role suits engineers who want real-world experience with AI infrastructure and customer collaboration in the Bay Area.
Listed on Baidu’s careers site · Apply there ↗
Principal Forward Deployed Engineer — AI-Native Invoicing
Intuit
Full-time · Mountain View, CA · $261,500 – $353,500
This Principal role embeds you directly with influential accountants and bookkeepers to understand their real invoicing workflows, then hand-craft AI-native solutions that solve their actual pain points before generalizing the best patterns into product capabilities. It's a founding-engineer loop that prioritizes field research and direct customer iteration over traditional spec-driven development.
Listed on Intuit’s careers site · Apply there ↗
Forward Deployed Engineer, Agentic Platform
Cohere
Full-time · United States, New Jersey, Boston, Canada, New York, Washington, DC, Ottawa, Toronto, Montreal · CA$175,000 – CA$385,000 · Remote
This role combines product engineering on Cohere's North AI platform with on-site customer deployment, building large-language-model-powered agents that solve high-stakes business problems in regulated industries. It suits engineers comfortable with architectural ambiguity, full-stack ownership, and frequent travel to work directly with enterprise customers.
Listed on Cohere’s careers site · Apply there ↗
Senior Data Lakehouse Architect (Databricks), Vice President
State Street Corporation
$120,000 – $202,500
Design and lead the construction of a modern data lakehouse platform for legal operations on Databricks and AWS, handling contracts, documents, and regulatory data at enterprise scale. This role suits experienced data architects with expertise in governance, security, and compliance who want to shape how a major financial institution manages its legal data infrastructure.
Listed on State Street Corporation’s careers site · Apply there ↗
Principal AI Engineer - Personalization and Recommendation (Remote)
Rula
Full-time · Remote - United States · $282,000 – $370,650
This role leads the design and deployment of AI and machine learning systems that power patient-provider matching and personalization across a mental healthcare platform. It suits experienced ML engineers who want to apply their expertise to high-stakes healthcare problems, shipping production systems that directly improve access to care.
Listed on Rula’s careers site · Apply there ↗
Senior AI / ML Engineer (LLMs)
Plug n Play Portfolio
Full-time · New York, NY · $200,000 – $235,000 · Remote
EvolutionIQ is seeking an experienced engineer to lead the development of AI and machine learning systems for their insurance claims product, focusing on large language models, retrieval-augmented generation, and hybrid machine learning approaches. This role suits someone with 5+ years of Python experience, proven success shipping LLM-powered products, and the technical leadership skills to drive complex projects from conception through production deployment.
Listed on Plug n Play Portfolio’s careers site · Apply there ↗
Asked for alongside Retrieval-Augmented Generation (RAG)
Measured from the 97 open roles that name Retrieval-Augmented Generation (RAG) — not from a curated list.
- Python71 roles73.2%
- Amazon Web Services (AWS)33 roles34.0%
- LangChain33 roles34.0%
- Kubernetes32 roles33.0%
- LangGraph28 roles28.9%
- LLMs (Large Language Models)27 roles27.8%
- Prompt Engineering27 roles27.8%
- Microsoft Azure25 roles25.8%
What employers state they pay
Median
$220,000
Middle half
$176,000 – $258,000
From 67 of 97 open roles — the 69% that publish a range, annualized to USD. Only some employers state pay, and the ones that do skew to California and New York, where the law requires it.
Who employers are hiring
- Entry4%
- Mid15%
- Senior61%
- Lead / Staff / Principal18%
- Management2%
From 89 roles whose posting states a level.
Where Retrieval-Augmented Generation (RAG) roles are
Among the 49 of 97 open roles we could place on a map.
Roles that use Retrieval-Augmented Generation (RAG)
Employers hiring for Retrieval-Augmented Generation (RAG)
49 in total, most open roles first.
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.