San Francisco, CA · On-site
$213K - $263K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
San Francisco, CA · On-site
$213K - $263K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...
Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...
San Francisco, CA · On-site
Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning * Work in a collaborative, high-impact team, translating ...
San Francisco, CA · On-site
Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning * Work in a collaborative, high-impact team, translating ...
Los Angeles, CA · On-site
$175 - $225/hr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Los Angeles, CA · On-site
$175 - $225/hr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
Long Beach, CA · On-site
Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate. * Partner with data and platform teams to ensure quality, lineage ...
Long Beach, CA · On-site
Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate. * Partner with data and platform teams to ensure quality, lineage ...
This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph ...
This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph ...
San Jose, CA · On-site
$70 - $80/hr
Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software. * Evaluations ...
San Jose, CA · On-site
$70 - $80/hr
Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software. * Evaluations ...
San Jose, CA · On-site
$151.80 - $332.20/hr
Designing and optimize Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents. * Developing ranking, relevance modeling, and evaluation frameworks to improve search ...
San Jose, CA · On-site
$151.80 - $332.20/hr
Designing and optimize Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents. * Developing ranking, relevance modeling, and evaluation frameworks to improve search ...
San Diego, CA · On-site +1
Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.
San Diego, CA · On-site +1
Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.
... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...
... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...
San Diego, CA · On-site +1
Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.
San Diego, CA · On-site +1
Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.
Palo Alto, CA · On-site
$149 - $260/hr
Retrieval-Augmented Generation (RAG) * Machine Learning * Statistical Modeling * Experiment Design and A/B Testing * Causal Inference * Predictive Analytics * Python * AI Evaluation and Benchmarking
New
Palo Alto, CA · On-site
$149 - $260/hr
Retrieval-Augmented Generation (RAG) * Machine Learning * Statistical Modeling * Experiment Design and A/B Testing * Causal Inference * Predictive Analytics * Python * AI Evaluation and Benchmarking
New
We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...
We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...
Los Angeles, CA · On-site
$145K - $195K/yr
Build AI-enabled APIs and services utilizing Retrieval-Augmented Generation (RAG), vector databases, semantic search, and prompt engineering techniques where applicable. * Evaluate and recommend AI ...
Los Angeles, CA · On-site
$145K - $195K/yr
Build AI-enabled APIs and services utilizing Retrieval-Augmented Generation (RAG), vector databases, semantic search, and prompt engineering techniques where applicable. * Evaluate and recommend AI ...
San Diego, CA · On-site +1
Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.
San Diego, CA · On-site +1
Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.
Woodland Hills, CA · On-site
$70K - $75K/yr
AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...
Woodland Hills, CA · On-site
$70K - $75K/yr
AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...
Los Angeles, CA · On-site
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
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Los Angeles, CA · On-site
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
$213K - $263K/yr
Other
Re-posted 7 days ago
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality.
This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI.
You will:
You have:
We prefer:
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Sourced by ZipRecruiter
Internet and it
1,001 - 5,000 Employees
Mountain View, CA, US
2009
