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Ai Rag Jobs in Vista, CA (NOW HIRING)

TEKsystems c/o Allegis Group

AI Engineer

San Diego, CA · On-site

$50 - $58/hr

Develop RAG pipelines, semantic search, and vector-based retrieval systems. * Create scalable backend services and APIs with Python and FastAPI. * Build AI agents and tool-calling workflows that ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform components. The ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

AI Software Engineer - D2C - SPOC Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA ... Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data ...

AI Talent Now

AI/LLM Integration Engineer

San Diego, CA · On-site

$160 - $200/hr

Familiarity with AI APIs, experience with agentic harnesses, prompt engineering. * Python ... Has done RAG, embeddings, or retrieval infrastructure, expanding agent capabilities with structured ...

Qualcomm

Lead, Enterprise AI FinOps

San Diego, CA · On-site

It requires deep understanding of AI-specific cost drivers-models, tokens, prompts, agents, embeddings, context windows, RAG systems, and adoption behavior-and the ability to translate telemetry into ...

Genesis10

Backend AI Engineer - Remote

San Diego, CA · On-site

$43 - $53/hr

Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance * Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets ...

ICW Group

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Establish architectural standards, patterns, and reference architectures for AI solutions - covering RAG pipelines, agentic workflows, model serving, and AI gateway design. * Lead the evaluation ...

Icwgroup

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Establish architectural standards, patterns, and reference architectures for AI solutions - covering RAG pipelines, agentic workflows, model serving, and AI gateway design. * Lead the evaluation ...

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Ai Rag information

See Vista, CA salary details

$32.7K

$59.5K

$85.4K

How much do ai rag jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai rag in Vista, CA is $59,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $66,400.00 per year, depending on experience, location, and employer.

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 job categories do people searching Ai Rag jobs in Vista, CA look for?

The top searched job categories for Ai Rag jobs in Vista, CA are:

What cities near Vista, CA are hiring for Ai Rag jobs?

Cities near Vista, CA with the most Ai Rag job openings:

Ai Rag jobs near you

Senior Gen AI & ML Engineer (GovCloud)

General Atomics

Poway, CA • On-site

Full-time

Posted 20 days ago

General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

10th of 72 rated aerospace companies

Job description

Job Summary
General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.
Under consultative direction, this position plays a crucial role in shaping our AI strategy, driving generative AI development, maturing our machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives. They will support our long-range strategy, goals, and objectives by designing and developing AI solutions using cloud and on-prem software platforms including Azure, AWS, and others as needed.
DUTIES AND RESPONSIBILITIES:
Generative AI Development:
  • Lead the design, development, and deployment of integrated custom solutions that leverage generative AI models using various design patterns including Prompting & Context Management, Responsible AI, RAG, Agentic & Multi-Agent workflows, and AI for data analytics.
  • Collaborate with data scientists, engineers, and subject matter experts to create AI solutions that provide significant value to the company while keeping ethical considerations and bias mitigation as a priority.
  • Design AI solutions with data-classification and sensitivity controls to prevent CUI/export-controlled data exposure to unauthorized environments.
Standards and Best Practices
  • Establish coding standards, documentation practices, and quality assurance processes for AI/ML projects.
  • Ensure compliance with industry best practices and security protocols such as but not limited to: NIST 800-171, CMMC Level 2, NIST AI RMF and the DoD Responsible AI principles.
  • Foster close working partnerships with cyber, risk management and other compliance stakeholders.
LLM Ops Integration
  • Design and develop new processes to support the integration of AI/ML pipelines into our GovCloud / Azure Government / GCC High, IL4, CI/CD workflows.
  • Automate model deployment, testing, monitoring, and scaling.
  • Integrate into approved change control process
  • Responsible for model administration, observability, and governance
AI Center of Excellence
  • Support the design, build, and growth of our AI Agentic Platform Architecture.
  • Drive innovation by staying abreast of AI trends and fostering a culture of continuous learning.
  • Collaborate with cross-functional teams to identify new AI opportunities and pilot projects that align with business goals.
  • Provide mentorship and technical guidance to other developers in ITS and the business, establishing a Community of Practice for AI.
  • Provide second/third tier user support for AI solutions as needed.
  • May act in a technical leadership role to lead cross-functional teams in the development and delivery of AI solutions.
  • Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
  • Performs other duties as assigned.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelors masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning experience as follows; nine or more years of experience with a bachelors degree, seven or more years of experience with a masters degree, or four or more years with a PhD. May substitute equivalent machine learning engineer experience in lieu of education.
  • Must demonstrate the application of advanced technical principles, theories, concepts, and techniques in the design of machine learning and artificial intelligence solutions.
  • Must be proficient with DevOps platforms and processes either cloud based or on-prem.
  • Must be experienced with configurating and deploying solutions in AWS and/or Azure cloud platforms.
  • Must have excellent organization skills including planning and coordinating work assignments to meet project milestones or completion dates.
  • Should be familiar with ITAR/EAR standards or handing export-controlled technical data.
  • Should be familiar with CUI, ITAR, and proprietary data regulations.
  • Must be customer focused and possess:
    • the ability to identify and analyze issues and develop solutions to complex problems;
    • strong analytical, verbal and written communication skills to accurately document, report, and present findings;
    • strong interpersonal skill to interface with all levels of employees, management and external contacts; and
    • strong computer skills.
  • Ability to work independently or in a team environment is essential.

What General Atomics employees say

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955

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