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Ai Rag Jobs (NOW HIRING)

Vlink

AI Solutions Architect

Manhattan, NY · Remote

$69.50 - $91.50/hr

Proven experience as a Solutions Architect with a focus on GenAI/Agentic AI (RAG, vector DB, embeddings, AI agent frameworks). Hands-on experience with Salesforce AgentForce and Salesforce Service ...

EXL

AI & Analytics Project Manager

Washington, DC · On-site

$58.50 - $79.25/hr

Solid understanding of how to drive AI (RAG) Programs/Products and Business Intelligence Program/Products from both a strategic and operational standpoint. * Data Source Identification: Ability to ...

ApTask

SDET

Alpharetta, GA · On-site

$48.75 - $63/hr

Python, Playwright, Core Engineering, CI CD, AI Rag / AI/ML , Python automation, Agentic AI, MCP servers. average Java and Playwright.

New

Gatik AI

AI Operations & RAG Architect

Mountain View, CA

$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 ...

Purple Drive Technologies

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

Mandatory Skills Google CCAI (Contact Center AI) Google Vertex AI RAG (Retrieval Augmented Generation) AI/ML Google GCP MLOps Healthcare Payer Cloud AI Platform Summary As an AI engineer, you will be ...

Apex Informatics

AI Solutions Architect

$64.50 - $85/hr

Architectural/technical experience with Gen AI (RAG/chain frameworks, Vector DB searches and embeddings, Agentic AI, etc.) * Architectural/technical expertise with cloud especially GCP, Azure, AWS ...

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Data Fabric Architect - Generative AI / RAG / Microsoft Fabric Location: Phoenix, AZ / Philadelphia, PA Competencies Must-Have: * Proven experience as a Data Architect with strong expertise in Data ...

Gatik AI

AI Operations & RAG Architect

Mountain View, 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 ...

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Ai Rag information

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$32K

$58.2K

$83.5K

How much do ai rag jobs pay per year?

As of Jun 4, 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 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.

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.

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.

More about Ai Rag jobs
What cities are hiring for Ai Rag jobs? Cities with the most Ai Rag job openings:
What states have the most Ai Rag jobs? States with the most job openings for Ai Rag jobs include:
What job categories do people searching Ai Rag jobs look for? The top searched job categories for Ai Rag jobs are:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $58,245 per year, or $28 per hour.
AI Engineer

AI Engineer

Expleo

Los Angeles, CA

Full-time

Posted 23 days ago

Job description

Description du poste

Le Groupe EXPLEO s'appuie sur 19000 collaborateurs hautement qualifies qui fournissent des solutions a forte valeur ajoutee dans 30 pays. Expleo vous aide a realiser vos ambitions et a assurer, ensemble, votre avenir. Nous vous offrons un melange unique de reflexion audacieuse et d'execution fiable, pour accelerer l'innovation a travers chaque etape de votre chaine de valeur.

Au-dela de rejoindre une entreprise, c'est donc une aventure humaine que nous vous proposons de VIVRE !!

Missions

Nous recherchons un(e) AI Engineer passionne(e) par les technologies d'Intelligence Artificielle et les solutions innovantes basees sur la Generative AI.

Missions principales
  • Concevoir et developper des solutions basees sur les technologies Generative AI :
    • RAG (Retrieval-Augmented Generation)
    • Chatbots intelligents
    • systemes multi-agents
    • assistants IA et workflows intelligents
  • Developper et integrer des APIs REST en Python pour exposer les services IA
  • Participer a la conception et a l'optimisation des pipelines IA et data
  • Concevoir les modeles de donnees et interfacer les applications avec PostgreSQL et MongoDB
  • Collaborer avec les equipes produit et developpement pour definir les besoins techniques et fonctionnels
  • Participer a l'amelioration continue des performances et de la qualite des solutions IA
  • Assurer une veille technologique sur les innovations IA, LLM et architectures modernes
Qualifications Profil recherche
  • Experience minimum de 4 ans dans le developpement IA / software engineering
  • Experience significative sur des projets IA innovants
  • Forte capacite d'analyse et de resolution de problemes
  • Autonomie, curiosite technique et esprit d'innovation
  • Capacite a travailler dans un environnement agile et collaboratif
CompetencesCompetences techniques requises
  • Tres bonne maitrise de Python et des architectures API REST
  • Experience confirmee sur les technologies Generative AI et LLM
  • Bonne comprehension des concepts RAG, orchestration d'agents IA et prompting avance
  • Experience appreciee en Machine Learning et Deep Learning
  • Maitrise des bases de donnees PostgreSQL et MongoDB
  • Connaissance des architectures cloud et microservices
Employment Type: FULL_TIME

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