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Ai Rag Jobs in California (NOW HIRING)

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Design and develop production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks . * Translate ambiguous business requirements into clear technical designs and ...

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Design and develop production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks . * Translate ambiguous business requirements into clear technical designs and ...

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Design and develop production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks . * Translate ambiguous business requirements into clear technical designs and ...

Barrow Wise Consulting

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads. * Build deterministic, well-tested deployment tooling for ...

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Ai Rag information

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 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 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 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.

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:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in California as of August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Consultant

Unicon Systems

San Jose, CA • On-site

$62 - $68/hr

Full-time

Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Benefits:
  • 401(k) matching

About the Role
We are seeking an experienced AI Consultant / AI Solutions Engineer to design, build, and deliver production-grade AI solutions that solve real business problems for internal teams and enterprise customers.
This role will own AI solutions end-to-end—from understanding business requirements and rapid prototyping to production deployment, optimization, observability, and continuous improvement. The ideal candidate combines strong software engineering skills with hands-on experience building and deploying LLM, RAG, and agent-based AI solutions.
Key Responsibilities
  • Design and develop production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks.
  • Translate ambiguous business requirements into clear technical designs and scalable solutions.
  • Rapidly prototype AI solutions and harden them for production scalability, reliability, observability, and cost efficiency.
  • Develop evaluation frameworks and define success metrics to measure AI model and system performance.
  • Integrate AI solutions with enterprise platforms and systems, including Adobe Experience Platform, Workfront, Adobe Journey Optimizer, and enterprise data platforms.
  • Partner with Product Managers, Designers, Engineers, and business stakeholders to define requirements and demonstrate solution progress.
  • Develop reusable AI components, tools, and frameworks to accelerate future AI initiatives.
  • Stay current with emerging AI technologies and evaluate their practical application to business use cases.
Required Qualifications
  • 5+ years of professional software engineering experience.
  • 2+ years of hands-on experience building and deploying AI/ML-powered solutions in production.
  • Strong hands-on programming experience with Python and TypeScript/JavaScript.
  • Experience building AI-powered user experiences using React.
  • Hands-on experience with LLM APIs such as OpenAI, Anthropic, or equivalent platforms.
  • Strong understanding of prompt engineering, tool calling, structured outputs, and AI agent patterns.
  • Experience designing and implementing RAG architectures.
  • Experience with vector databases and retrieval-quality evaluation.
  • Strong understanding of cloud platforms such as AWS, Azure, or Adobe I/O Runtime.
  • Experience with modern DevOps, CI/CD, logging, monitoring, and production deployment practices.
  • Strong communication skills with both technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Adobe Experience Platform (AEP), Workfront, GenStudio, or Adobe Journey Optimizer (AJO).
  • Experience with Databricks, Snowflake, or similar data platforms.
  • Background in enterprise SaaS, marketing technology, or customer engineering.
  • Experience with agent frameworks such as LangGraph, CrewAI, or similar frameworks.
  • Experience designing enterprise AI architecture, governance, security, and responsible AI practices.
Core Technical Skills
AI/ML: LLMs, Generative AI, RAG, AI Agents, Prompt Engineering, Agentic Workflows
Programming: Python, TypeScript, JavaScript, React
LLM Platforms: OpenAI, Anthropic, or equivalent
AI Frameworks: LangGraph, CrewAI, or similar
Cloud: AWS, Azure, Adobe I/O Runtime
Data: Vector Databases, Databricks, Snowflake
DevOps: CI/CD, Monitoring, Logging, Observability
Adobe: AEP, Workfront, AJO, GenStudio
Location Requirement
ONLY LOCAL CANDIDATES IN SAN JOSE, CA, USA WILL BE CONSIDERED.

Candidates must currently be located in the San Jose, CA area and be available to work from the local area as required.

Flexible work from home options available.