Generative AI Architect

Summary

Join ARC Group as a Generative AI Architect in a 100% remote contract position (through December 2025, converting to FTE). This role involves designing, developing, and deploying AI-powered applications, leveraging your expertise in model fine-tuning, RAG architecture, and multi-agent systems. You will collaborate with cross-functional teams to build scalable and innovative solutions. The position offers tremendous career growth potential within an established and well-respected organization committed to diversity and inclusion. Candidates must have permanent work authorization. Third-party candidates are not eligible.

Requirements

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

Responsibilities

• 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