Full-Stack GenAI Engineer

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Company: Del Oro Consulting

Location: Irvine, CA 92620

Description:

Full-Stack GenAI Engineer

Del Oro Consulting, a nationwide consulting firm with over 20 years of experience providing strategic solutions to leading global technology companies in the U.S., is seeking a highly skilled Full-Stack GenAI Engineer.

This role requires expertise in both front-end and back-end development, along with experience in integrating GenAI technologies (including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic architecture, and Cloud-native AI services) into web platforms.

The ideal candidate will have a software engineering background, as much of the AI work will focus on integration and optimization from that perspective, rather than deep learning or data science. You will collaborate with cross-functional teams to develop innovative solutions that leverage AI to improve user experiences and streamline processes.

This is a hybrid role. The consultant will be required to report to the client's office 1-2 times per month in Irvine, CA. Candidates must live in Irvine, CA or a commutable location.

Key Responsibilities:

Full-Stack GenAI Development
  • Design, develop, and maintain scalable full-stack web applications with a focus on AI-driven features.
  • Develop and optimize front-end applications using modern JavaScript frameworks (React, Angular, or Vue.js), with a strong emphasis on Next.js.
  • Build robust back-end services and APIs, leveraging Node.js, Python (Django/Flask), or other frameworks, with AI integration in mind.
  • Focus on software engineering best practices for AI-driven web applications, including performance and scalability.

AI Integration and GenAI Expertise
  • Integrate GenAI models and APIs into web applications to provide automation, personalization, and analytics capabilities.
  • Work with AI frameworks and APIs such as TensorFlow, PyTorch, OpenAI API, Hugging Face, or other tools to build and optimize intelligent features.
  • Develop solutions that leverage key GenAI components, including:
    • LLMs (Large Language Models) for natural language understanding and generation.
    • RAG (Retrieval-Augmented Generation) to enhance model accuracy by retrieving relevant data.
    • Agentic architecture to build intelligent, task-oriented systems.
    • Cloud-native AI services for secure, scalable deployment in cloud environments.

Cloud and Deployment
  • Ensure the secure and efficient deployment of AI solutions in cloud environments (AWS, Azure, Google Cloud).
  • Build and maintain microservices and APIs for scalable cloud applications.

Data Management
  • Manage databases (SQL, NoSQL, Firebase, MongoDB), ensuring seamless data flow between the AI models and the application.

Stay Current with AI Trends
  • Stay current with AI trends, tools, and best practices, particularly those relevant to software engineering and web development.

Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • 5+ years of experience in full-stack web development, with a strong emphasis on software engineering for AI applications.
  • Proficiency in front-end technologies (JavaScript, React, Angular, Vue.js, HTML, CSS), with a focus on Next.js.
  • Strong back-end development skills using Node.js, Python (Django/Flask), or other frameworks.
  • Proven experience integrating GenAI models and APIs into web applications, with hands-on experience in:
    • LLMs, RAG, Agentic architecture, and Cloud-native AI services.
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for AI model deployment.
  • Experience with RESTful APIs, GraphQL, and microservices architecture.
  • Strong database management skills (SQL, PostgreSQL, MongoDB, Firebase).
  • Solid experience with version control systems (Git, GitHub, GitLab).
  • Knowledge of DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Experience with AI-driven chatbots, recommendation systems, or natural language processing.

Preferred Qualifications:
  • Understanding of AI ethics, data privacy, and security concerns.
  • Experience in deploying AI models in edge computing environments.
  • Familiarity with Web3 technologies and decentralized applications.

Details of Position:
  • Work Arrangement: W2 / Hybrid. Consultant will be required to report to the client's office in Irvine, CA 1-2 times per month.
  • Duration: 3-6 months contract with potential for extension.
  • Benefits: Medical, Dental, Vision & 401(k) (with a match).

*Note: This is a W2 opportunity, and we are unable to consider C2C arrangements or provide sponsorship. Applicants must be authorized to work in the United States for any employer.

Del Oro Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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