We are seeking an experienced Software Engineer with deep expertise in building and deploying AI and data-driven applications at scale. The ideal candidate brings 10+ years of hands-on experience architecting, developing, and maintaining enterprise-level data and AI systems. You will play a key role in shaping our technical direction, mentoring team members, and delivering robust AI solutions that drive business value.

• Architect and implement scalable AI systems and data processing pipelines, including the transformation of research prototypes into production-ready solutions.
• Lead technical decisions for cloud-native infrastructure, data and AI/ML workloads, ensuring system reliability, performance, and cost optimization.
• Design and maintain high-performance APIs, services, and data workflows that power AI-driven features.
• Implement comprehensive monitoring, logging, and alerting systems for both infrastructure, data pipeline and ML models.
• Establish and enforce best practices for infrastructure-as-code, security, compliance, and disaster recovery.
• Drive architectural improvements and modernization initiatives across the technology stack.
• Provide technical leadership through code reviews, mentorship, and collaboration with cross-functional teams.
• Troubleshoot complex production issues and implement robust solutions across the entire stack.

• Architect and implement scalable AI systems and data processing pipelines, including the transformation of research prototypes into production-ready solutions.
• Lead technical decisions for cloud-native infrastructure, data and AI/ML workloads, ensuring system reliability, performance, and cost optimization.
• Design and maintain high-performance APIs, services, and data workflows that power AI-driven features.
• Implement comprehensive monitoring, logging, and alerting systems for both infrastructure, data pipeline and ML models.
• Establish and enforce best practices for infrastructure-as-code, security, compliance, and disaster recovery.
• Drive architectural improvements and modernization initiatives across the technology stack.
• Provide technical leadership through code reviews, mentorship, and collaboration with cross-functional teams.
• Troubleshoot complex production issues and implement robust solutions across the entire stack