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Entrylevel Retrieval Augmented Generation Jobs in Irvine, CA

... retrieval-augmented generation).This is a full-cycle ML role : you'll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It's a blend of applied ...

... retrieval-augmented generation).This is a full-cycle ML role : you'll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It's a blend of applied ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

AI Software Engineer

Long Beach, CA · On-site

$115 - $173/hr

Experience building agents, retrieval-augmented generation, or LLM evaluation pipelines * Familiarity with data engineering tools and modern data stacks * Exposure to manufacturing, hardware ...

Experience building agents, retrieval-augmented generation, or LLM evaluation pipelines * Familiarity with data engineering tools and modern data stacks * Exposure to manufacturing, hardware ...

Data/Cloud Architect (AWS)

Irvine, CA · On-site

$69.75 - $88.75/hr

Preferred Skill and Experience Preferred exposure to Artificial Intelligence services, Large Language Model integration, Retrieval-Augmented Generation patterns, prompt engineering, responsible ...

Data/Cloud Architect (AWS)

Irvine, CA · On-site

$81 - $109/hr

Preferred Skill and Experience Preferred exposure to Artificial Intelligence services, Large Language Model integration, Retrieval-Augmented Generation patterns, prompt engineering, responsible ...

Data/Cloud Architect (AWS)

Irvine, CA · On-site

$69.75 - $88.75/hr

Preferred Skill and Experience Preferred exposure to Artificial Intelligence services, Large Language Model integration, Retrieval-Augmented Generation patterns, prompt engineering, responsible ...

AI Software Engineer

Lake Forest, CA · Hybrid

$103K - $172K/yr

Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. * Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent ...

Machine Learning Engineer

Costa Mesa, CA · On-site

$62K - $100K/yr

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry. * Experience in fine ...

AI Software Engineer

Lake Forest, CA · On-site

$103K - $172K/yr

Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. * Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent ...

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Entrylevel Retrieval Augmented Generation information

See Irvine, CA salary details

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How much do entrylevel retrieval augmented generation jobs pay per year?

As of Aug 30, 2026, the average yearly pay for entrylevel retrieval augmented generation in Irvine, CA is $55,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $69,800.00 per year, depending on experience, location, and employer.

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Senior Generative AI Developer - Google Cloud

Jobtailor

Irvine, CA • On-site

$140 - $210/hr

Other

Posted 12 days ago


Job description

  • Design, build, test, and deploy Generative AI applications and intelligent agents on Google Cloud.
  • Develop single-agent and multi-agent solutions using Google Agent Development Kit.
  • Integrate Gemini models with enterprise APIs, databases, applications, and business workflows.
  • Deploy AI applications using Agent Engine, Cloud Run, GKE, or other appropriate GCP services.
  • Build Retrieval-Augmented Generation solutions using services such as BigQuery, Vertex AI Vector Search, Cloud Storage, and Document AI.
  • Develop APIs, microservices, agent tools, MCP integrations, and event-driven workflows.
  • Build data pipelines to ingest, transform, chunk, embed, index, and retrieve structured and unstructured data.
  • Implement session management, memory, tool calling, human approval, and agent orchestration patterns.
  • Apply automated testing, CI/CD, logging, monitoring, tracing, evaluation, and cost-management practices.
  • Implement Google Cloud security using IAM, service accounts, Workload Identity Federation, Secret Manager, and private networking.
  • Troubleshoot issues across agents, models, APIs, data pipelines, integrations, security, and cloud deployments.
  • Create architecture diagrams, technical designs, API specifications, deployment guides, and operational documentation.
  • Own technical workstreams and provide design reviews, code reviews, and guidance to other developers.
  • Participate in client discovery, architecture, testing, deployment, and knowledge-transfer activities.
Requirements
  • Significant experience developing and deploying applications on Google Cloud.
  • Advanced Python development experience.
  • Hands-on experience building Generative AI or agentic applications.
  • Experience with Google Agent Development Kit, including agents, tools, workflows, sessions, state, and multi-agent patterns.
  • Experience integrating Gemini models using Vertex AI or Google Gen AI SDKs.
  • Experience with Agent Engine, Cloud Run, GKE, Cloud Functions, or similar GCP runtimes.
  • Experience designing and implementing RAG solutions.
  • Experience with BigQuery and Google Cloud data services.
  • Experience building APIs using frameworks such as FastAPI.
  • Experience with REST APIs, asynchronous processing, event-driven architecture, and microservices.
  • Understanding of MCP and its use in connecting agents to enterprise tools and systems.
  • Experience with SQL, document stores, object storage, embeddings, semantic search, or vector databases.
  • Experience with Git, automated testing, CI/CD, Docker, and infrastructure as code.
  • Understanding of Google Cloud IAM, service accounts, Secret Manager, networking, logging, and monitoring.
  • Ability to evaluate tradeoffs involving model quality, latency, security, scalability, reliability, and cost.
Core Competencies

Demonstrates expertise in developing and deploying Generative AI applications on Google Cloud, utilizing advanced Python programming and integrating various Google Cloud services. Proficient in building APIs, data pipelines, and implementing security measures while ensuring high-quality, scalable, and reliable solutions.

Highest-signal resume keywords
  • Google Cloud Application Development
  • Advanced Python Development
  • Generative AI Application Building
  • API Development with FastAPI
  • Data Pipeline Construction
ATS Optimization Keywords Hard Skills
  • Python
  • Google Cloud
  • Generative AI
  • API Development
  • BigQuery
  • SQL
  • Microservices
  • CI/CD
  • Docker
  • Event-Driven Architecture
Industry Keywords
  • Generative AI
  • Agentic Applications
  • MCP
  • Asynchronous Processing
  • Retrieval-Augmented Generation
  • Data Services
  • Cloud Security
  • Monitoring
  • Logging
  • Orchestration Patterns
Tools & Technologies
  • Google Agent Development Kit
  • Agent Engine
  • Cloud Run
  • GKE
  • Vertex AI
  • Cloud Functions
  • Document AI
  • Secret Manager
  • Git
  • Infrastructure as Code
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