About the Role
The role involves building and maintaining scalable backend services that support AI-based communication tools, with a focus on reliability, performance, and integration across distributed systems.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Collaborative engineering team focused on backend systems
Responsibilities
- Design and implement backend services for real-time AI applications
- Optimize system performance and ensure high availability
- Collaborate with frontend and data science teams to integrate features
- Write clean, testable, and well-documented code
- Troubleshoot and resolve production issues
- Participate in code reviews and technical design discussions
- Contribute to architectural decisions for scalable systems
- Work with distributed data storage and processing systems
- Ensure security and compliance standards are met
- Support deployment pipelines and infrastructure automation
Requirements
- Bachelor’s degree in Computer Science or related field
- 6+ years of backend development experience
- Strong proficiency in Go, Python, or similar languages
- Experience with microservices architecture
- Deep understanding of distributed systems
- Familiarity with containerization and orchestration tools
- Knowledge of message queues and event-driven systems
- Experience with cloud platforms such as AWS or GCP
- Understanding of database design and query optimization
- Proven ability to debug complex systems
Preferred Qualifications
- Experience with real-time communication systems
- Background in AI or machine learning infrastructure
- Contributions to open-source projects
- Familiarity with Kubernetes
- Knowledge of gRPC and protocol buffers
- Experience with observability and monitoring tools
- Understanding of CI/CD best practices
- Prior work in fast-paced startup environments
What We Offer
- Opportunity to work on cutting-edge AI technology
- Supportive and technically strong engineering culture
- Professional development and growth paths
- Flexible working hours
- Health and wellness benefits
- Remote-friendly hybrid setup
- Annual company offsite
- Learning and conference allowances
Available for qualified candidates
