Generative AI Architect

Job Title: Generative AI Architect

Address: Jacksonville, Florida

Hours: Core Business Hours: Mâ F, 8:00am â 5:00pm (Full Time)

Job Description:

Design, develop, and implement generative AI models and algorithms to solve complex problems.

Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.

Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.

Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.

Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.

Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.

Integrate AI models into existing systems and ensure smooth deployment and operation.

Optimize AI models and full-stack applications for performance and scalability.

Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.

Troubleshoot and resolve issues related to AI models and application performance.

Contribute to the creation and maintenance of documentation for AI models and applications.

Critical Information:

Verify with a Recruiter or Staffing Manager!

Education/Licenses Needed:

Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Job Requirements:

Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects.

Proficiency in programming languages such as Python, JavaScript, or similar.

Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.

Strong understanding of model fine-tuning and experience in adapting models for specific use cases.

Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies.

Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources.

Knowledge of multi-agent systems and their application in AI workflows.

Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices.

Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

This is an AI-generated job description, therefore this does not remove human decision-making.