ZipRecruiter

Log In

1

Retrieval Augmented Generation Rag Jobs (NOW HIRING)

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

TekShapers

Gen AI Architect

Raritan, NJ · On-site

Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise data sources. * Collaborate with business stakeholders, product teams, and engineering ...

New

9to9 Software Solutions LLC

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

Apply Early

Natsoft Corporation

Sierra.ai Consultant

Dallas, TX · On-site

... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...

Redolent, Inc.

Sr, ML Architect

Washington, DC · On-site

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

next page

Showing results 1-20

All JobsRetrieval Augmented Generation Rag Jobs

Retrieval Augmented Generation Rag information

See salary details

$15

$20

$26

How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for retrieval augmented generation rag in the United States is $20.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.15 per hour, depending on experience, location, and employer.
What cities are hiring for Retrieval Augmented Generation Rag jobs? Cities with the most Retrieval Augmented Generation Rag job openings:
What states have the most Retrieval Augmented Generation Rag jobs? States with the most job openings for Retrieval Augmented Generation Rag jobs include:
What job categories do people searching Retrieval Augmented Generation Rag jobs look for? The top searched job categories for Retrieval Augmented Generation Rag jobs are:
Retrieval Augmented Generation Rag jobs near you
Infographic showing various Retrieval Augmented Generation Rag job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $42,119 per year, or $20.2 per hour.

AI Scientist / AI Architect

HCM Staffing and Consulting

Irvine, CA • On-site

Other

Posted 2 days ago

Job description

Work Arrangement

  • Onsite: Yes
  • 2 3 days per week in the client's Irvine office.
  • 1 day per week in the client's Downtown Los Angeles office.
  • 1 day remote.

We are seeking a hands-on AI Scientist / AI Architect with 8+ years of experience in AI/ML, Data Science, or Software Engineering to design and deliver scalable, enterprise-grade AI solutions. The ideal candidate will have extensive experience building LLM-enabled applications, agent-based systems, Retrieval-Augmented Generation (RAG) architectures, and cloud-native AI platforms while collaborating with business stakeholders to drive AI innovation.

Mandatory Areas

  • AI/ML Solution Architecture
  • LLM & Generative AI Development
  • Agent-Based Systems
  • Retrieval-Augmented Generation (RAG)
  • Enterprise AI Integration

Must-Have Skills

  • Python & Backend Development
  • LLM / Generative AI Application Development
  • Agent-Based AI Systems
  • RAG, Vector Databases & Embeddings
  • API Development & System Integration
  • AWS Cloud-Native Development
  • CI/CD & DevOps Practices
  • Observability (Logging, Monitoring & Tracing)

Key Responsibilities

  • Design and develop scalable AI/ML pipelines and intelligent enterprise applications.
  • Build agent-based AI workflows, automation systems, and Retrieval-Augmented Generation (RAG) solutions.
  • Architect and implement LLM orchestration layers supporting content generation, drafting, and editing workflows.
  • Integrate AI solutions with enterprise platforms, APIs, backend systems, and data platforms.
  • Lead solution architecture for large engagements and define architecture principles, patterns, and technology roadmaps.
  • Ensure architecture governance, technical quality, scalability, security, and compliance across projects.
  • Conduct architecture reviews, design reviews, technical audits, and Proof of Concepts (POCs).
  • Translate business requirements into AI-driven technical solutions and collaborate with product, marketing, and business stakeholders.
  • Provide architectural leadership, mentor architects and engineering teams, and support offshore delivery.
  • Support pre-sales activities, technical proposals, project estimation, and solution consulting.
  • Identify technical risks, define mitigation strategies, and ensure successful project delivery.
  • Drive innovation through reusable assets, architecture patterns, knowledge sharing, and technology best practices.

Required Qualifications

  • 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • Strong Python backend development experience.
  • Hands-on experience with LLM-enabled applications and Generative AI.
  • Experience building agent-based AI systems.
  • Strong expertise in RAG architectures, vector databases, embeddings, and indexing.
  • Experience with API development and backend integrations.
  • AWS cloud-native development experience.
  • Experience with CI/CD pipelines and environment management.
  • Strong understanding of observability, including logging, monitoring, and tracing.
  • Experience deploying machine learning models into production.
  • Experience with enterprise AI workflows, automation, and governance.

Architecture & Delivery Expectations

  • Define architecture for large, multi-technology engagements and serve as the design authority.
  • Ensure adherence to architecture principles, design standards, and non-functional requirements.
  • Develop reusable architecture patterns and enterprise AI solution models.
  • Guide technical teams on architecture, design, and technology adoption.
  • Support project planning, estimation, governance, and stakeholder management.
  • Mentor architects and engineers while contributing to technical capability development.

Domain Experience

  • AI-enabled enterprise workflows.
  • Marketing/content generation platforms (Nice to Have).
  • Financial/Investment domain (Preferred).

Certifications

  • AWS, Machine Learning, or AI certifications are good to have but not mandatory.

Apply