About the Role
The role involves developing and optimizing core systems for an AI virtual assistant platform, ensuring high availability, performance, and seamless integration across multiple enterprise services.
Responsibilities
- Design and implement scalable system architectures for AI operations
- Maintain and improve reliability of core automation infrastructure
- Collaborate with development teams to integrate AI services
- Monitor system performance and resolve technical issues
- Ensure compliance with security and data protection standards
- Develop automation scripts to streamline deployment processes
- Support incident response and root cause analysis
- Optimize cloud resource utilization and cost efficiency
- Document system configurations and operational procedures
- Participate in system design reviews and technical planning
- Troubleshoot cross-system integration challenges
- Implement monitoring and alerting frameworks
- Contribute to disaster recovery and backup strategies
- Work with APIs to connect internal and external platforms
- Ensure systems meet service level agreements
- Assist in onboarding new technical partners
- Evaluate emerging technologies for potential adoption
- Maintain version control for system configurations
- Support continuous integration and delivery pipelines
- Provide technical guidance during project execution
- Ensure logging systems capture actionable insights
- Coordinate with security teams on vulnerability assessments
- Manage access controls and identity permissions
- Improve system resilience under high load
- Contribute to post-implementation reviews
Nice to Have
- Master's degree in a technical discipline
- Certification in cloud architecture or systems engineering
- Experience with AI or machine learning platforms
- Background in financial or enterprise service automation
- Knowledge of service mesh technologies
- Familiarity with real-time data streaming platforms
- Experience supporting mission-critical applications
- Contributions to open-source infrastructure projects
- Exposure to large-scale data processing systems
- Understanding of regulatory compliance in digital services
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid working model with flexible hours
Team
Collaborative engineering team focused on AI-driven automation
About the AIVA Platform
AIVA is an AI-powered virtual assistant designed to automate complex business processes across departments such as finance, HR, and customer support. The platform leverages natural language processing and workflow automation to deliver accurate, real-time responses and actions.
Technology Stack
The system runs on AWS with Kubernetes for orchestration, uses Python and Node.js for services, PostgreSQL for data storage, and integrates with enterprise APIs using secure REST and GraphQL endpoints.
Available for qualified candidates