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Retrieval Augmented Generation Rag Jobs in Avondale, AZ

Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures. * Experience deploying AI/ML solutions into production environments.

RAG (retrieval-augmented generation), tool invocation, structured outputs (JSON), and safe fallbacks for critical paths. - Implement model orchestration and model ops practices: prompt/version ...

Design and implement production AI platform capabilities, including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review. * Build an AI-native ...

Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation. But your true impact will come from leadership. You ...

... retrieval-augmented generation (RAG), or multi-agent workflows in application delivery * Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve

Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources, vector databases, and search technologies to improve response accuracy and relevance.

Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation. But your true impact will come from leadership. You ...

Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources, vector databases, and search technologies to improve response accuracy and relevance.

Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation. But your true impact will come from leadership. You ...

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Retrieval Augmented Generation Rag information

See Avondale, AZ salary details

$14

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$26

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

As of Sep 2, 2026, the average hourly pay for retrieval augmented generation rag in Avondale, AZ is $19.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $20.67 per hour, depending on experience, location, and employer.

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Infographic showing various Retrieval Augmented Generation Rag job openings in Avondale, AZ as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $41,153 per year, or $19.8 per hour.

Full-Stack AI Engineer -- AWS AI

Bounteous

Scottsdale, AZ

Full-time

Posted 6 days ago


Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

Job Title: Full-Stack AI Engineer - AWS AI

Location: Scottsdale, Arizona (Onsite Preferred – 5days)
Employment Type: Contract
Domain: Retail

About the Role

We are seeking a highly motivated and technically strong Full-Stack AI Engineer - AWS AI to join our team. This individual will play a key role in designing, developing, deploying, and supporting enterprise-grade AI applications leveraging AWS AI services, Large Language Models (LLMs), agentic AI frameworks, APIs, cloud-native architectures, and modern web technologies.

The ideal candidate will possess strong full-stack engineering expertise combined with hands-on experience building production-ready AI solutions. This role will focus on accelerating enterprise AI adoption through scalable AI applications, intelligent automation, AI agents, workflow orchestration, and integration with internal and external enterprise systems.

The Engineer will collaborate closely with business stakeholders, data scientists, cloud architects, product teams, and AI governance teams to deliver secure, scalable, and impactful AI solutions.

Key Responsibilities

AI Application Development

  • Design, develop, and maintain AI-powered applications using AWS AI and Machine Learning services.
  • Build scalable enterprise solutions utilizing Generative AI, Retrieval-Augmented Generation (RAG), intelligent workflows, and AI agents.
  • Implement AI-enabled business solutions that enhance operational efficiency and customer experiences.
  • Collaborate with business teams to translate AI use cases into production-ready applications.

Full-Stack Engineering

  • Develop front-end and back-end components of AI-driven applications.
  • Build responsive user interfaces and APIs supporting AI-powered experiences.
  • Design reusable and scalable application architectures.
  • Develop secure, maintainable, and performant code following industry best practices.
  • Support integration of AI services into enterprise web applications and business platforms.
    • AWS AI & Cloud Engineering
    • Agentic AI Solutions
    • API & Enterprise Integrations
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management capabilities.
  • Ability to explain complex AI concepts to non-technical audiences.
  • Strong documentation and knowledge-sharing mindset.
  • Ability to work independently and in cross-functional teams.
  • Experience operating in agile development environments.

Required Qualifications

Education

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • Equivalent practical experience may be considered.

Experience

  • 3-5 years of hands-on software engineering experience.
  • Experience building and deploying cloud-native applications.
  • Experience working on AI, machine learning, or Generative AI projects.
  • Experience supporting production enterprise applications.
Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.