... RAG systems, and domain-specific LLM pipelines using firmware knowledge and defect data. • Build AI-assisted tooling across CI/CD, IDEs, and build systems to improve quality, reduce review time ...
... RAG systems, and domain-specific LLM pipelines using firmware knowledge and defect data. • Build AI-assisted tooling across CI/CD, IDEs, and build systems to improve quality, reduce review time ...
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...
... AI, Gemini, Gemma). • LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback. • RAG ...
... AI, Gemini, Gemma). • LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback. • RAG ...
Manager, Software Engineering - AI Product
San Francisco, CA · On-site +1
$196K - $203K/yr
Knowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative products * Experience digging into product analytics and data yourself to help create new ...
Manager, Software Engineering - AI Product
San Francisco, CA · On-site +1
$196K - $203K/yr
Knowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative products * Experience digging into product analytics and data yourself to help create new ...
Software Engineer, AI Infrastructure
Mountain View, CA · Hybrid
$175K - $270K/yr
Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question ...
Software Engineer, AI Infrastructure
Mountain View, CA · Hybrid
$175K - $270K/yr
Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question ...
Engineering Leader of AI Transformation
San Jose, CA · On-site
$206K - $290K/yr
Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies. * Familiarity with cloud platforms (Azure, AWS, GCP) and scalable distributed systems. * Publications, patents, or ...
Engineering Leader of AI Transformation
San Jose, CA · On-site
$206K - $290K/yr
Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies. * Familiarity with cloud platforms (Azure, AWS, GCP) and scalable distributed systems. * Publications, patents, or ...
Engineering Leader of AI Transformation
San Jose, CA · On-site
$206K - $290K/yr
Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies. * Familiarity with cloud platforms (Azure, AWS, GCP) and scalable distributed systems. * Publications, patents, or ...
Engineering Leader of AI Transformation
San Jose, CA · On-site
$206K - $290K/yr
Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies. * Familiarity with cloud platforms (Azure, AWS, GCP) and scalable distributed systems. * Publications, patents, or ...
Distinguished, Software Engineer
San Mateo, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
San Mateo, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Fremont, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Fremont, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Mountain View, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Mountain View, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Cupertino, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Cupertino, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Hayward, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Hayward, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Data Scientist
San Francisco, CA · On-site
Build production-ready AI systems for document processing (PDFs, XLSX, DOCX, CSV etc.) * Develop and deploy 1-2 RAG/knowledge base systems in the first year * Create reusable GenAI frameworks and ...
Quick apply
Data Scientist
San Francisco, CA · On-site
Build production-ready AI systems for document processing (PDFs, XLSX, DOCX, CSV etc.) * Develop and deploy 1-2 RAG/knowledge base systems in the first year * Create reusable GenAI frameworks and ...
Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management. 8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise ...
New
Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management. 8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise ...
New
Distinguished, Software Engineer
Milpitas, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Milpitas, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
San Jose, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
San Jose, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Sunnyvale, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Distinguished, Software Engineer
Sunnyvale, CA · On-site
$169K - $338K/yr
We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...
Staff, Software Engineer
Milpitas, CA · On-site
$143K - $286K/yr
We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...
Staff, Software Engineer
Milpitas, CA · On-site
$143K - $286K/yr
We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...
Ai Rag information
What are the key skills and qualifications needed to thrive as an AI researcher?
To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.
What is the difference between Ai Rag vs Data Analyst?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.
What is an AI RAG?
AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.
What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?
AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in California? For Ai Rag jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in California look for? The top searched job categories for Ai Rag jobs in California are:
What cities in California are hiring for Ai Rag jobs? Cities in California with the most Ai Rag job openings:
Job description
Job Summary:
Solidigm is a multibillion-dollar global company in the memory industry, headquartered in Rancho Cordova, California. They are seeking a Principal AI Workflow Engineer to evaluate emerging AI technologies and lead the integration of AI capabilities into firmware engineering workflows.
Responsibilities:
• Evaluate emerging AI technologies and define a firmware AI roadmap aligned to business priorities, engineering efficiency, and measurable impact.
• Prototype, validate, and scale AI tools and workflows for code generation, review, testing, bug triage, and documentation in firmware engineering.
• Design and deploy agentic AI, RAG systems, and domain-specific LLM pipelines using firmware knowledge and defect data.
• Build AI-assisted tooling across CI/CD, IDEs, and build systems to improve quality, reduce review time, and accelerate development cycles.
• Identify high-value AI use cases across the firmware lifecycle, including simulation, modeling, regression testing, coverage analysis, and validation automation.
• Serve as the firmware organization’s AI technical leader, guiding architecture, defining best practices, coaching engineers, and driving AI upskilling.
• Partner across AI Platform, Security, Legal, IT, DevOps, and executive leadership to define success metrics and ensure secure, compliant AI adoption.
• Architect secure, scalable AI infrastructure and build external partnerships with vendors and research institutions to advance AI-driven firmware engineering.
Qualifications:
Required:
• 10+ years of software or embedded engineering experience, with deep expertise in C/C++ development for embedded systems, RTOS environments, or storage firmware.
• Demonstrated hands-on experience building, fine-tuning, deploying, or integrating large language models (LLMs) and agentic AI systems in production or near-production environments.
• Experience designing AI-assisted developer tooling (code generation, review automation, test synthesis) that integrates with existing CI/CD and engineering workflows.
• Deep understanding of firmware validation techniques including unit testing, integration testing, simulation frameworks, and hardware-in-the-loop (HIL) testing.
• Strong technical communication skills with the ability to influence senior engineering leaders and translate complex AI capabilities into pragmatic engineering strategies.
Preferred:
• Background in storage technology, SSD firmware, NAND flash systems, or semiconductor engineering environments.
• Experience with MLOps platforms and AI infrastructure (e.g., model serving, evaluation pipelines, vector databases, LLM gateways).
• Familiarity with AI-driven EDA tools, hardware design automation, or silicon lifecycle engineering.
• Contributions to open-source AI or firmware engineering projects, or publications in relevant technical communities.
• Experience with advanced prompt engineering patterns, multi-agent system design, or LLM-based software engineering research (SWE-bench, etc.).
Company:
Solidigm provides storage products and solutions for data centers. Founded in 2021, the company is headquartered in Rancho Cordova, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Solidigm is a multibillion-dollar global company in the memory industry, headquartered in Rancho Cordova, California. They are seeking a Principal AI Workflow Engineer to evaluate emerging AI technologies and lead the integration of AI capabilities into firmware engineering workflows.
Responsibilities:
• Evaluate emerging AI technologies and define a firmware AI roadmap aligned to business priorities, engineering efficiency, and measurable impact.
• Prototype, validate, and scale AI tools and workflows for code generation, review, testing, bug triage, and documentation in firmware engineering.
• Design and deploy agentic AI, RAG systems, and domain-specific LLM pipelines using firmware knowledge and defect data.
• Build AI-assisted tooling across CI/CD, IDEs, and build systems to improve quality, reduce review time, and accelerate development cycles.
• Identify high-value AI use cases across the firmware lifecycle, including simulation, modeling, regression testing, coverage analysis, and validation automation.
• Serve as the firmware organization’s AI technical leader, guiding architecture, defining best practices, coaching engineers, and driving AI upskilling.
• Partner across AI Platform, Security, Legal, IT, DevOps, and executive leadership to define success metrics and ensure secure, compliant AI adoption.
• Architect secure, scalable AI infrastructure and build external partnerships with vendors and research institutions to advance AI-driven firmware engineering.
Qualifications:
Required:
• 10+ years of software or embedded engineering experience, with deep expertise in C/C++ development for embedded systems, RTOS environments, or storage firmware.
• Demonstrated hands-on experience building, fine-tuning, deploying, or integrating large language models (LLMs) and agentic AI systems in production or near-production environments.
• Experience designing AI-assisted developer tooling (code generation, review automation, test synthesis) that integrates with existing CI/CD and engineering workflows.
• Deep understanding of firmware validation techniques including unit testing, integration testing, simulation frameworks, and hardware-in-the-loop (HIL) testing.
• Strong technical communication skills with the ability to influence senior engineering leaders and translate complex AI capabilities into pragmatic engineering strategies.
Preferred:
• Background in storage technology, SSD firmware, NAND flash systems, or semiconductor engineering environments.
• Experience with MLOps platforms and AI infrastructure (e.g., model serving, evaluation pipelines, vector databases, LLM gateways).
• Familiarity with AI-driven EDA tools, hardware design automation, or silicon lifecycle engineering.
• Contributions to open-source AI or firmware engineering projects, or publications in relevant technical communities.
• Experience with advanced prompt engineering patterns, multi-agent system design, or LLM-based software engineering research (SWE-bench, etc.).
Company:
Solidigm provides storage products and solutions for data centers. Founded in 2021, the company is headquartered in Rancho Cordova, USA, with a team of 1001-5000 employees. The company is currently Late Stage.