Principal Machine Learning Engineer I
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Principal Machine Learning Engineer I
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Principal Machine Learning Engineer I
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Principal Machine Learning Engineer I
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Applied AI Engineer
Raleigh, NC · On-site
Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
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Applied AI Engineer
Raleigh, NC · On-site
Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
AWS AI Platform Engineer
Raleigh, NC · On-site
... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...
AWS AI Platform Engineer
Raleigh, NC · On-site
... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...
M724-UiPath Developer 65886
Raleigh, NC · On-site
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems. Ensure responsible AI practices including transparency, auditability ...
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M724-UiPath Developer 65886
Raleigh, NC · On-site
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems. Ensure responsible AI practices including transparency, auditability ...
Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content * Lead through execution and by example: Actively writing code, not just delegating REQUIREMENTS:
Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content * Lead through execution and by example: Actively writing code, not just delegating REQUIREMENTS:
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Sr. Product Manager, AI
Raleigh, NC · On-site
$140 - $190/hr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
New
Sr. Product Manager, AI
Raleigh, NC · On-site
$140 - $190/hr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
New
Sr. Product Manager, AI
Raleigh, NC · On-site
$123K - $162K/yr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Sr. Product Manager, AI
Raleigh, NC · On-site
$123K - $162K/yr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Sr. Product Manager, AI
Raleigh, NC · On-site +1
$123K - $162K/yr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Sr. Product Manager, AI
Raleigh, NC · On-site +1
$123K - $162K/yr
Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...
Data Engineer
Cary, NC · On-site
$106K - $127K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Data Engineer
Cary, NC · On-site
$106K - $127K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Sr AI/ML Engineer
Durham, NC · Hybrid
$180K - $220K/yr
... retrieval-augmented generation, and prompt engineering. • Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts). • MLOps CI/CD ...
New
Sr AI/ML Engineer
Durham, NC · Hybrid
$180K - $220K/yr
... retrieval-augmented generation, and prompt engineering. • Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts). • MLOps CI/CD ...
New
Data Engineer
$90K - $150K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Data Engineer
$90K - $150K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Sr AI/ML Engineer
Durham, NC · Hybrid
$180K - $220K/yr
... retrieval-augmented generation, and prompt engineering. • Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts). • MLOps CI/CD ...
New
Sr AI/ML Engineer
Durham, NC · Hybrid
$180K - $220K/yr
... retrieval-augmented generation, and prompt engineering. • Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts). • MLOps CI/CD ...
New
Senior AI Platform Engineer (Data and Analytics Cloud Engineer)
Raleigh, NC · On-site
$101K - $139K/yr
... retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization. * Establish and champion DevSecOps practices for platform ...
Senior AI Platform Engineer (Data and Analytics Cloud Engineer)
Raleigh, NC · On-site
$101K - $139K/yr
... retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization. * Establish and champion DevSecOps practices for platform ...
Guide development of scalable solutions including retrieval-augmented generation (RAG) pipelines, orchestration workflows, and enterprise integration patterns * Ensure solutions are secure, resilient ...
Guide development of scalable solutions including retrieval-augmented generation (RAG) pipelines, orchestration workflows, and enterprise integration patterns * Ensure solutions are secure, resilient ...
Senior AI Platform Engineer (Data and Analytics Cloud Engineer)
Raleigh, NC · On-site
$101K - $139K/yr
... retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization. • Establish and champion DevSecOps practices for platform ...
Senior AI Platform Engineer (Data and Analytics Cloud Engineer)
Raleigh, NC · On-site
$101K - $139K/yr
... retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization. • Establish and champion DevSecOps practices for platform ...
Retrieval-augmented generation (RAG) pipelines * Hybrid ML + rules-based systems for structured content * Lead through execution and by example: * Actively writing code, not just delegating
Retrieval-augmented generation (RAG) pipelines * Hybrid ML + rules-based systems for structured content * Lead through execution and by example: * Actively writing code, not just delegating
Retrieval-augmented generation (RAG) pipelines * Hybrid ML + rules-based systems for structured content * Lead through execution and by example: * Actively writing code, not just delegating
Retrieval-augmented generation (RAG) pipelines * Hybrid ML + rules-based systems for structured content * Lead through execution and by example: * Actively writing code, not just delegating
Retrieval Augmented Generation information
What does a retrieval augmented generation engineer do?
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.
What is a retrieval augmented generation?
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.
What skills and qualifications are needed for retrieval augmented generation?
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.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Raleigh, NC? The most popular types of Retrieval Augmented Generation jobs in Raleigh, NC are:
What are popular job titles related to Retrieval Augmented Generation jobs in Raleigh, NC? For Retrieval Augmented Generation jobs in Raleigh, NC, the most frequently searched job titles are:
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Job description
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
Do you love collaborating with teams to solve complex technical problems?
We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks designed for complex large unstructured data.
Responsibilities:Provide architectural direction and code-level guidance.
Establish engineering best practices for ML system design, testing, and deployment.
Conduct design reviews, performance reviews, and technical roadmap planning.
Architect distributed ML systems serving multiple global products.
Standardize infrastructure patterns for LLM serving and retrieval systems.
Define and implement enterprise-ready agentic frameworks.
Architect multi-step reasoning systems.
Lead decisions on deterministic workflows vs. autonomous agents.
Implement guardrails, safety layers, and traceability mechanisms.
Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
Establish CI/CD standards for ML lifecycle management.
Ensure compliance with enterprise data governance and responsible AI standards.
Requirements
10 + years of Machine Learning/Software Engineer experience
Master's degree or bachelor's degree, computer science degree is highly desirable.
Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data
Experience with ML deployment to production
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About RELX Group
Sourced by ZipRecruiter
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
London, Greater London, GB