Cleveland, OH · On-site
$118K - $163K/yr
Develop and maintain AI workflows, including multi-agent systems and Retrieval-Augmented Generation (RAG) pipelines, to solve complex business problems. Technical Leadership: Mentor junior developers ...
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Cleveland, OH · On-site
$118K - $163K/yr
Develop and maintain AI workflows, including multi-agent systems and Retrieval-Augmented Generation (RAG) pipelines, to solve complex business problems. Technical Leadership: Mentor junior developers ...
$118K - $163K/yr
Develop and maintain AI workflows, including multi-agent systems and Retrieval-Augmented Generation (RAG) pipelines, to solve complex business problems. Technical Leadership: Mentor junior developers ...
$118K - $163K/yr
Develop and maintain AI workflows, including multi-agent systems and Retrieval-Augmented Generation (RAG) pipelines, to solve complex business problems. Technical Leadership: Mentor junior developers ...
Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns. * Establish patterns and standards for responsible AI use ...
Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns. * Establish patterns and standards for responsible AI use ...
Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns. * Establish patterns and standards for responsible AI use ...
Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns. * Establish patterns and standards for responsible AI use ...
Cleveland, OH · On-site
Experience with Generative AI and LLM technologies, including LLM deployment, Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization ...
Cleveland, OH · On-site
Experience with Generative AI and LLM technologies, including LLM deployment, Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization ...
Cincinnati, OH · On-site
... Retrieval-Augmented Generation (RAG) architectures. • Build prompt orchestration and agent-based AI solutions. • Evaluate and integrate foundation models from providers such as OpenAI, Anthropic ...
Cincinnati, OH · On-site
... Retrieval-Augmented Generation (RAG) architectures. • Build prompt orchestration and agent-based AI solutions. • Evaluate and integrate foundation models from providers such as OpenAI, Anthropic ...
Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics. * Strong communication skills and a product-oriented mindset. Nice to have: * Hands on experience with AI ...
Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics. * Strong communication skills and a product-oriented mindset. Nice to have: * Hands on experience with AI ...
Optimize structured data for RAG (Retrieval-Augmented Generation) environments . * Collaborate with GEO and content teams to ensure alignment between semantic layer and markup layer . * Reduce ...
New
Optimize structured data for RAG (Retrieval-Augmented Generation) environments . * Collaborate with GEO and content teams to ensure alignment between semantic layer and markup layer . * Reduce ...
New
Define and own the AI product strategy, clearly articulating how the Neo4j graph platform uniquely enables key enterprise AI use cases, including Retrieval-Augmented Generation (RAG), knowledge graph ...
Define and own the AI product strategy, clearly articulating how the Neo4j graph platform uniquely enables key enterprise AI use cases, including Retrieval-Augmented Generation (RAG), knowledge graph ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Cleveland, OH · On-site
... Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies. • Strong programming skills in Python, SQL, Bash, Git, and CI/CD tools.
Cleveland, OH · On-site
... Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies. • Strong programming skills in Python, SQL, Bash, Git, and CI/CD tools.
Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics. * Demonstrated Experience working with APIs, databases, and modern backend systems. * Familiarity with agentic ...
Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics. * Demonstrated Experience working with APIs, databases, and modern backend systems. * Familiarity with agentic ...
Cleveland, OH · On-site
... Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies. · Strong programming skills in Python, SQL, Bash, Git, and CI/CD tools.
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Cleveland, OH · On-site
... Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies. · Strong programming skills in Python, SQL, Bash, Git, and CI/CD tools.
Mason, OH · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Mason, OH · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
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 ...
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 ...
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 ...
Mason, OH · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Mason, OH · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
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 ...
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.
$118K - $163K/yr
Full-time
Re-posted 4 days ago
Sourced by ZipRecruiter
Software development
501 - 1,000 Employees
Foster City, CA, US
2007
