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Ai Rag Jobs (NOW HIRING)

Gatik AI

AI Operations & RAG Architect

Santa Clara, CA · On-site

$170K - $220K/yr

Your mission is to design secure RAG (Retrieval-Augmented Generation) structures that allow AI to safely access company knowledge while strictly respecting security boundaries and data privacy. This ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

At least one Generative AI / RAG capability shipped to customers, with measurable adoption and a clear quality bar (groundedness, latency, cost per call).A documented AI/ML strategy and roadmap for ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

At least one Generative AI / RAG capability shipped to customers, with measurable adoption and a clear quality bar (groundedness, latency, cost per call). A documented AI/ML strategy and roadmap for ...

Oraapps Inc

Senior Staff Software Engineer

Manhattan, NY · On-site

$135K - $178K/yr

Experience building AI/ML products end-to-end * Production experience with LLMs * Hands-on experience with RAG (Retrieval-Augmented Generation) * Experience with AI Agent frameworks * Experience ...

Synopsys Inc

AI, Sr Staff Engineer

Sunnyvale, CA · On-site

... AI, RAG, multi-step workflows, and enterprise-grade AI architecture. • Proven experience with Microsoft AI Copilot, Copilot Studio, Microsoft AI Foundry, SAP BTP, and Salesforce AI (including ...

Apptad Inc

Gen AI Developer

Irving, TX · On-site

... AI RAG Design and deploy sophisticated RAG pipelines and Transformerbased architecture Orchestrate LLMasaService eg GPT4 GeminiVertex AI alongside local SLMs eg Llama 3 Mixtral Agentic Workflows ...

Figma

Manager, Software Engineering - AI Product

... AI, RAG, the fine-tuning process and its application to creative products • Experience digging into product analytics and data yourself to help create new opportunities or investment areas for your ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. • Develop AI-powered assistants to support technicians in ...

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Ai Rag information

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$32K

$58.2K

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How much do ai rag jobs pay per year?

As of Jul 15, 2026, the average yearly pay for ai rag in the United States is $58,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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.
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What cities are hiring for Ai Rag jobs? Cities with the most Ai Rag job openings:
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Ai Rag jobs near you
Infographic showing various Ai Rag job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $58,245 per year, or $28 per hour.
AI Operations & RAG Architect

AI Operations & RAG Architect

Gatik AI

Santa Clara, CA • On-site

$170K - $220K/yr

Full-time

Re-posted 11 days ago

Job description

Who we are
Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
The AI Operations Engineer is responsible for building the central knowledge base for the company. You will bridge the gap between our raw data and our AI assistants. You will ensure our teams can use the world's best models (Gemini, Claude, ChatGPT) safely and efficiently. Your mission is to design secure RAG (Retrieval-Augmented Generation) structures that allow AI to safely access company knowledge while strictly respecting security boundaries and data privacy.
This role is onsite 5 days a week at our Santa Clara, CA office!
What you'll do
  • AI Stack Governance: Administer our AI suite, including Gemini CLI and Claude Code for engineers, and Granola AI for general productivity.
  • Secure RAG Architecture: Design and maintain the vector databases and data pipelines that power internal AI. Ensure the AI only "sees" what the user's Google/Okta permissions allow.
  • Agentic Workflows: Build and tune AI agents using frameworks like LangChain, LlamaIndex and Zapier to automate complex business processes.
  • Governance-Before-Generation: Implement "Identity-Aware Retrieval" to ensure AI outputs never leak sensitive data to unauthorized users.
  • AI Security (AI-SPM): Protect the organization against AI-specific threats like prompt injection and data poisoning. Monitor for "Shadow AI" usage.
  • Performance Tuning: Monitor LLM latency, token usage, and accuracy, optimizing embeddings and "chunking" strategies for better AI performance.

What we're looking for
  • Proven experience administering Enterprise AI platforms (Gemini, Claude, ChatGPT).
  • Strong Python skills for building RAG pipelines and interacting with LLM APIs.
  • Familiarity with Vector Databases (e.g., Pinecone) and AI orchestration (LangChain/LlamaIndex).
  • Understanding of the security intersection between IAM (Google/Okta) and AI dataretrieval.
  • Familiarity with data privacy standards and how to mask PII within AI prompts

Salary Range - $170,000- $220,000
More about Gatik
Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile - with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.
Visit us at Gatik for more company information and Careers at Gatik for more open roles.
Notable News
  • Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
  • Forbes: Hundreds' Of Gatik Robot Delivery Trucks Headed For U.S. Roads
  • Forbes:Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
  • Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
  • Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
  • Business Wire: Gatik Paves the Way for Safe Driverless Operations ('Freight-Only') at Scale with Industry-First Third-Party Safety Assessment Framework
  • Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
  • Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
  • Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
  • Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
  • Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny
Taking care of our team
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment's sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

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