• Help design the next-gen financial platform for billing, licensing, and accounting. • Guide our move from a legacy PHP setup to a modern, service-based architecture. • Build systems that handle invoices, payments, and revenue recognition — reliably and globally. • Integrate with platforms like NetSuite, Stripe, QuickBooks, Zuora, and Chargebee. • Ensure data accuracy, reconciliation, and auditability across all transactions. • Set standards for performance, observability, and security across our financial stack. • Work closely with Finance, Product, and Operations to turn business needs into scalable tech. • Takes on additional responsibilities and projects as needed to support the success of the team and organization.

• Design, build, and lead the delivery of production-grade AI systems focused on Data and AI on Customer Segmentation, Hyper-Personalization, and Intelligent Decisioning. • Own end-to-end production-grade AI initiatives—from data and model design to deployment, monitoring, and optimization. • Lead the design, development, and deployment of AI/ML solutions for Agentic AI, Segmentation, Clustering, Hyper-personalization, Recommendation systems, and predictive use cases. • Translate business objectives into scalable AI solutions and technical roadmaps. • Own the full model lifecycle, including experimentation, training, evaluation, deployment, monitoring, and retraining. • Develop and maintain production-grade AI services using Python. • Design and implement API-driven AI systems using FastAPI. • Work with architect(s) to develop scalable, secure, and resilient AI solutions on AWS. • Use AWS SageMaker for model training, pipelines, and deployment. • Use AWS Bedrock for foundation models, GenAI workflows, and prompt-based solutions. • Lead and implement MLOps best practices across the AI lifecycle. • Build CI/CD pipelines for ML workflows. • Manage model versioning, lineage, and reproducibility. • Ensure reliable and scalable model serving in production environments. • Act as the technical owner for AI initiatives, ensuring timely and high-quality delivery. • Mentor AI/ML engineers through code reviews, architecture discussions, and best practices. • Collaborate with Product, Engineering, and Business stakeholders to align AI outcomes with product goals.

• Collaborate with PM and design to turn ideas into elegant and efficient engineering solutions. • Design, develop, and maintain highly reliable and performant web applications. • Write clean, well-documented, and testable code following industry best practices. • Enhance engineering culture by refining our architecture, practices, and tools. • Engage in engineering recruitment and help up-level our hiring practices. • Mentor less experienced engineers to help them grow and reach their full potential.

• Support the company’s vital business by contributing to the design and development of software in an event-driven microservices environment • Develop microservices in Golang • Work with platform engineers to setup new services • Respond to production issues and alerts • When necessary, communicate directly with client technical teams