About the Role
The role involves developing, testing, and integrating AI-driven features into the core platform, ensuring models are efficient, maintainable, and aligned with business goals.
Responsibilities
- Design and implement machine learning models for real-time decision making
- Optimize algorithms for performance and scalability across distributed systems
- Collaborate with product teams to define AI use cases and success metrics
- Translate research prototypes into production-grade code
- Monitor model performance and implement feedback loops for continuous improvement
- Work with data engineers to ensure high-quality training datasets
- Develop APIs and services to expose AI capabilities to frontend applications
- Maintain documentation for models, pipelines, and system architecture
- Stay current with advancements in artificial intelligence and related technologies
- Participate in code reviews and contribute to engineering best practices
- Troubleshoot and resolve issues in live AI systems
- Ensure compliance with data privacy and security standards
- Collaborate on A/B testing strategies for AI features
- Support deployment and rollback procedures for model updates
- Contribute to technical planning and roadmap discussions
- Mentor junior engineers on AI-related tasks and methodologies
- Evaluate third-party AI tools and libraries for potential integration
- Optimize inference latency and resource utilization
- Work cross-functionally to align AI capabilities with customer needs
- Implement model versioning and tracking systems
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative environment focused on product innovation and technical excellence
About the Team
The engineering team operates with a strong focus on innovation, speed, and user-centric design. AI initiatives are central to shaping the future of the platform.
What We Look For
We value engineers who combine technical depth with a practical mindset, delivering solutions that are both advanced and reliable in real-world conditions.
Growth Opportunities
Engineers are encouraged to lead projects, propose new technologies, and grow into technical leadership roles over time.
Tech Stack
Primary languages include Python and JavaScript. Infrastructure leverages cloud services, Kubernetes, and modern CI/CD pipelines.
Application Process
Candidates should expect a technical screen, a take-home challenge focused on model design, and a final interview loop with team members.
Available for qualified candidates
