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Rag Hiring Jobs (NOW HIRING)

Appex Innovation

AI Architect

Irvine, CA · On-site

$80/hr

We are hiring for a Job Role : AI Scientist / AI Architect (Hands-on) Location: Irvine, CA and LA ... Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)

Calance US

Azure AI Engineer- onsite

Charlotte, NC

We are hiring Azure AI Engineer- onsite for a Contract To Hire position in Charlotte, NC Client is ... Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities ...

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

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Showing results 21-40

All JobsRag Hiring Jobs

Rag Hiring information

See salary details

$40.5K

$78.8K

$118.5K

How much do rag hiring jobs pay per year?

As of Aug 6, 2026, the average yearly pay for rag hiring in the United States is $78,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $93,500.00 per year, depending on experience, location, and employer.

What is the difference between Rag Hiring vs Fabricator?

AspectRag HiringFabricator
Required CredentialsHigh school diploma or equivalent, basic safety trainingHigh school diploma, technical training or apprenticeship
Work EnvironmentConstruction sites, industrial settingsManufacturing plants, workshops
Employer & Industry UsageConstruction companies, industrial firmsMetalworking, manufacturing industries
Common Search & ComparisonYesYes

Rag Hiring typically refers to temporary or casual labor hiring, often for manual tasks, while Fabricators are skilled workers involved in metal or material fabrication. Both roles may require safety training and work in industrial environments, but Fabricators usually have more technical skills and training. Understanding these differences helps job seekers find the right opportunities based on skills and industry focus.

More about Rag Hiring jobs
What cities are hiring for Rag Hiring jobs? Cities with the most Rag Hiring job openings:
What states have the most Rag Hiring jobs? States with the most job openings for Rag Hiring jobs include:
What job categories do people searching Rag Hiring jobs look for? The top searched job categories for Rag Hiring jobs are:
Rag Hiring jobs near you
Infographic showing various Rag Hiring job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $78,753 per year, or $37.9 per hour.

Hiring Gen AI Engineer Google ADK & Agentic AI at Charlotte, NC

Realtech Services LLC

Charlotte, NC • On-site

Other

Re-posted 13 hours ago

Job description


Job Title: Gen AI Engineer Google ADK & Agentic AI

Work Location: Charlotte, NC- Hybrid

Key Responsibilities

We are seeking a highly skilled Gen AI Engineer with expertise in Google ADK and Agentic AI frameworks to design, develop, and deploy next-generation AI solutions for Capital Markets use cases. The ideal candidate will have strong experience in Large Language Models (LLMs), AI agent architectures, RAG pipelines, and financial domain knowledge across trading and investment systems.

You will work closely with business stakeholders, quantitative teams, and engineering teams to build scalable AI-driven applications for trade analytics, research automation, risk management, and intelligent decision-making platforms.

Required Skills & Qualifications
  • Design and develop AI-powered applications using Large Language Models (LLMs) such as GPT, LLaMA, Gemini, and other open-source models.
  • Build and implement Agentic AI solutions using Google ADK and multi-agent orchestration frameworks.
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
  • Fine-tune and optimize foundation models using financial and market datasets.
  • Integrate AI solutions with trading platforms, market data feeds, research systems, and enterprise applications.
  • Develop intelligent workflows for trade analytics, portfolio insights, financial research, and risk monitoring.
  • Implement NLP techniques for document processing, sentiment analysis, summarization, and market intelligence.
  • Work with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
  • Ensure AI governance, compliance, security, explainability, and model performance optimization.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
  • Deploy and manage AI workloads on cloud platforms including AWS, Azure, or Google Cloud Platform.
  • Stay updated with advancements in Generative AI, Agentic AI, and Capital Markets technologies.
Required Skills & Qualifications
  • 5+ years of software engineering or AI/ML development experience.
  • Strong hands-on experience with Generative AI and LLM application development.
  • Experience with Google ADK, Agentic AI frameworks, LangChain, LangGraph, CrewAI, AutoGen, or similar tools.
  • Strong programming expertise in Python.
  • Experience with PyTorch, TensorFlow, Hugging Face Transformers, and NLP frameworks.
  • Hands-on experience implementing RAG architectures and vector search solutions.
  • Experience with prompt engineering, fine-tuning, embeddings, and model evaluation.
  • Knowledge of REST APIs, microservices, and distributed systems.
  • Experience with cloud platforms: AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
  • Solid understanding of Capital Markets domains including:
    • Equities
    • Fixed Income
    • Derivatives
    • FX Trading
    • Risk & Portfolio Management
  • Familiarity with CI/CD pipelines, Docker, Kubernetes, and MLOps practices.

Apply