About the Role
The role involves developing scalable backend services focused on artificial intelligence systems, integrating machine learning models into production environments, and optimizing data pipelines for accuracy and speed.
Responsibilities
- Design and implement high-performance server-side applications
- Build and maintain APIs that support AI model integration
- Collaborate with data science teams to productionize machine learning workflows
- Optimize backend systems for low-latency responses
- Ensure data integrity and consistency across distributed systems
- Develop monitoring tools for AI service health and performance
- Write clean, maintainable code with comprehensive testing
- Troubleshoot and resolve production issues in real time
- Participate in system architecture planning and reviews
- Improve scalability and reliability of AI-powered features
- Work closely with frontend teams to deliver seamless user experiences
- Maintain documentation for backend services and interfaces
- Enforce security best practices in API and data access design
- Support deployment pipelines and CI/CD processes
- Evaluate new technologies for backend and AI infrastructure improvements
- Contribute to database schema design and query optimization
- Ensure compliance with data privacy and regulatory standards
- Mentor junior engineers and conduct code reviews
- Respond to on-call incidents involving backend services
- Drive initiatives to reduce technical debt in core systems
Nice to Have
- Master’s degree in computer science or related field
- Experience with large-scale AI or ML deployment
- Contributions to open-source projects
- Prior work in remote-first organizations
- Knowledge of GraphQL and gRPC
- Experience with vector databases or embedding systems
- Familiarity with MLOps tools and practices
- Background in fintech or global payroll systems
- Published research or patents in AI-related domains
- Leadership experience in technical architecture decisions
Benefits
- Comprehensive health insurance coverage
- Retirement savings plan with employer contribution
- Unlimited paid time off policy
- Annual learning and development stipend
- Home office setup reimbursement
- Flexible parental leave program
- Mental health and wellness support
- Company-wide offsite gatherings
- Stock options as part of compensation
- Inclusive, global team culture
Compensation
Competitive salary and equity package
Work Arrangement
Remote, flexible hours with team overlap expectations
Team
Part of a distributed engineering team building core AI infrastructure
About the AI Team
This team focuses on integrating artificial intelligence into core product functions, enabling smarter automation and decision-making across platforms. Engineers work directly on reducing latency, improving model accuracy feedback loops, and scaling inference systems.
What Success Looks Like
Within six months, you will have shipped critical backend improvements to AI services, reduced model response time by measurable percentages, and contributed to cross-team initiatives that enhance system observability and resilience.
Available for qualified candidates
