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Entrylevel Retrieval Augmented Generation Jobs (NOW HIRING)

Pronix Inc

Python AI Developer

Malvern, PA · On-site

$49.25 - $68/hr

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:

New

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Khayainfotech

Java Developer With AI

Saint Louis, MO · On-site

$48.25 - $62.50/hr

Knowledge of retrieval-augmented generation (RAG) * Experience with API integration and orchestration frameworks * Knowledge of cloud platforms, including AWS, Azure, or Google Cloud Platform

New

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

ClifyX

Senior Agentic AI Builder

San Jose, CA · On-site

$107K - $136K/yr

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

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How much do entrylevel retrieval augmented generation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entrylevel retrieval augmented generation in the United States is $52,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $65,000.00 per year, depending on experience, location, and employer.
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Entrylevel Retrieval Augmented Generation jobs near you
Infographic showing various Entrylevel Retrieval Augmented Generation job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $52,136 per year, or $25.1 per hour.

Product Manager, Retrieval-Augmented Generation and Embeddings

Google

San Jose, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

Product Manager, Retrieval-Augmented Generation and Embeddings

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Large Language Models (LLMs) need access to fresh, specialized data to give users helpful responses. Doing this at scale while keeping things flexible enough to let developers try new ideas quickly involves bridging the gaps between many infrastructure capabilities: chunking, inference, embeddings retrieval, and more. You will work with stakeholders across the Context and Understanding organization to make sure Google's AI powered experiences can leverage the Retrieval-Augmented Generation (RAG) setups to optimize cost, quality, and latency. Behind the scenes, RAG systems rely on vector (embeddings) search as a critical technology to enable fast, cheap, semantic queries. You will also work with the broader AI Foundations organization to guide the evolution of our embeddings capabilities across a number of storage and serving systems.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits.

Responsibilities:

  • Partner with research teams across DeepMind, Research, and Core to advance the next-generation RAG technologies at Google, and make them available across the company.
  • Partner with clients to unlock new business opportunities by resolving critical bottlenecks in Google's RAG technologies.
  • Drive the horizontal product outlook and road map to ensure smooth and efficient journeys across multiple products in the AI Foundations portfolio.
  • Conduct client and external research to surface top client pain points and emerging opportunities.
  • Define and track success metrics for user value and developer velocity.

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