Senior Software Engineer, Backend Development (Playable Ads)

Posted: 2025-09-22

About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads) builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

- Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.

- Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.

- Implement message-driven communication with high reliability and fault tolerance.

- Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.

- Lead system designs, drive technical roadmap decisions, and provide guidance to team members.

- Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.