About the Role
The role involves integrating AI technologies into existing platforms, troubleshooting system interactions, and supporting ongoing optimization to enhance service delivery and user experience.
Responsibilities
- Design and deploy AI-driven features into customer service platforms
- Collaborate with engineering teams to align AI models with system architecture
- Monitor performance of integrated AI components
- Diagnose and resolve technical issues related to AI functionality
- Document integration processes and system configurations
- Ensure AI solutions comply with data privacy standards
- Optimize response accuracy and processing speed of AI tools
- Work with product teams to refine AI behavior based on user feedback
- Support onboarding of AI systems for new clients
- Maintain up-to-date knowledge of AI advancements relevant to service applications
- Assist in training support staff on AI system capabilities
- Evaluate third-party AI tools for potential integration
- Contribute to version updates and system scalability planning
- Implement security protocols for AI data handling
- Coordinate with quality assurance during deployment cycles
- Provide technical guidance during client consultations
- Track system metrics to assess AI effectiveness
- Troubleshoot integration errors between AI and legacy systems
- Develop automation scripts to streamline AI operations
- Participate in sprint planning and technical reviews
- Ensure consistent performance across multiple client environments
- Assist in defining AI use case requirements
- Maintain clear communication with cross-functional teams
- Support incident resolution involving AI components
- Contribute to post-implementation reviews
Nice to Have
- Master’s degree in artificial intelligence or related discipline
- Hands-on experience with transformer-based models
- Exposure to MLOps practices
- Certifications in cloud platform AI services
- Prior work in customer support automation
- Experience with real-time data processing
- Familiarity with low-code AI integration tools
- Background in telecommunications or SaaS industries
- Knowledge of multilingual NLP systems
- Track record of successful AI deployments in production
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Remote
Team
Collaborative team focused on technical innovation and client support
Technology Stack
- Primary languages: Python, JavaScript
- Cloud infrastructure: Google Cloud Platform
- AI frameworks: TensorFlow, Hugging Face Transformers
- Deployment: Kubernetes, Docker, Terraform
- Monitoring: Prometheus, Grafana
- Collaboration tools: Jira, Confluence, Slack
Onboarding Process
- Structured 4-week onboarding program
- Dedicated mentor for first 90 days
- Access to internal AI sandbox environment
- Weekly check-ins with team lead
- Training on proprietary integration tools
Not available
