Need Generative AI Architect -IT-Applications Development, 100% remote

Synergy Technologies; Jacksonville (FL); Remote; USD 90,000 - 140,000; Full time

Job summary

A leading technology company seeks a Generative AI Architect to design and implement innovative AI applications. The role requires expertise in model fine-tuning and full-stack development. Collaboration with cross-functional teams will drive the development of scalable AI solutions, making this an exciting opportunity for skilled engineers.

Qualifications

• Proven experience as a Generative AI Developer with a strong portfolio of AI-driven projects.
• Experience with AI/ML frameworks such as TensorFlow and PyTorch.
• Familiarity with cloud services like AWS, Azure, or Google Cloud.

Responsibilities

• Design, develop, and implement generative AI models and algorithms for complex problems.
• Collaborate with data scientists and UX/UI designers to create end-to-end AI applications.
• Integrate AI models and optimize performance and scalability.

Skills

Generative AI

Model Fine-tuning

Retrieval-Augmented Generation

Multi-Agent Systems

Full-Stack Development

Cloud Services

Collaboration Skills

Education

Bachelor's or Master's degree in Computer Science

Tools

TensorFlow

PyTorch

Docker

Kubernetes

SQL

NoSQL

Job description

Direct Client:: W2 position:: Need Generative AI Architect -IT-Applications Development with LLMOps Experience, 100% remote

Direct message the job poster from Synergy Technologies

Job Title: Generative AI Architect - IT - Applications Development

Job Description:

As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.

Key Responsibilities:

1. Design, develop, and implement generative AI models and algorithms to solve complex problems.
2. Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks.
3. Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources.
4. Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities.
5. Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications.
6. Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies.
7. Integrate AI models into existing systems and ensure smooth deployment and operation.
8. Optimize AI models and full-stack applications for performance and scalability.
9. Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack.
10. Troubleshoot and resolve issues related to AI models and application performance.
11. Contribute to the creation and maintenance of documentation for AI models and applications.

Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2. Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects. Need strong industry experience and strong experience with LLMOps.
3. Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
4. Strong understanding of model fine-tuning and experience in adapting models for specific use cases.
5. Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies.
6. Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources.
7. Knowledge of multi-agent systems and their application in AI workflows.
8. Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices.
9. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
10. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

REQUIRED EDUCATION:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

REQUIRED EXPERIENCE:

• Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI.
• Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
• Experience with database technologies such as SQL and NoSQL databases.
• Understanding of CI/CD pipelines and tools.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

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