Jobs at Vantaca

Design, build, and maintain cloud architecture, model serving infrastructure, and ML pipelines. Optimize AI workloads for low-latency inference and cost efficiency, implement CI/CD for model deployment, monitoring, and versioning, and ensure reliability, security, and observability for mission-critical AI services. Collaborate with product and engineering teams, document runbooks, and mentor colleagues.

The Sr. Product Manager for Payments will define and drive the Vantaca Pay product roadmap, optimize payment flows, ensure compliance, and improve digital payment conversion while collaborating cross-functionally.

This role involves developing core payment services, designing robust ledgers, ensuring high-scale reliability, and maintaining compliance in a fast-paced environment.

The Senior Backend Engineer will build and operate backend systems for AI agents, focusing on reliability, API design, and data modeling, while enhancing code quality and performance in a fast-paced environment.

The Engineering Manager leads the engineering vision for HOAi's Vendor product, focusing on payments processes, team development, and strategic leadership to enhance customer experiences and business results.

Design and build the data and analytics layer: schemas, pipelines, APIs, dashboards, forecasting and ML models. Deliver usage-based metering, ensure data correctness and observability, and ship customer-facing analytics while raising engineering standards.

Lead a platform engineering team building centralized IAM, API infrastructure, and an AI orchestration layer for autonomous agents. Own developer experience, platform standards, security, reliability, and cross-team adoption while hiring and mentoring engineers and partnering with product teams.

The Senior Engineer will build and operate backend systems for AI agents, design APIs, optimize performance, and uphold engineering standards to ensure platform reliability and scalability.

The Forward Deployed Engineer will design, build, and deploy AI agent solutions for customers, optimize workflows, and enhance automation capabilities through active client engagement and collaboration with engineering teams.

The Sr. Applied AI Engineer will design, build, and deploy production-grade ML and LLM systems. Responsibilities include collaborating with various teams, developing evaluation infrastructure, maintaining versioned LLM workflows, and ensuring data governance.