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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Full Stack Software Engineer for Personalization Services - **Company:** Propertyvalue Internet Brands, Inc. - **Location:** El Segundo, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Information Engineering, Distributed Systems, Fault Tolerance, Python (Programming Language), Machine Learning, Service-Oriented Architecture, Service Design, Cloud Platform System, Delivery Pipeline, Caching, Backend, Kotlin, Information Technology, Low Latency, Api Design, Software Version Control, Golang - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/a8473994-2219-42e0-bbf2-80aa8c7a1434 ## About the Role Required: * Bachelor's degree in Computer Science, Engineering, or equivalent experience. * 5+ years of experience building backend services in production environments. Strong experience with: * API design and service-oriented architectures * Backend development in one or more modern languages (e.g., Java, Kotlin, Go, Python, or similar) * Distributed systems and cloud-based infrastructure * Proven ability to design systems with performance, reliability, and scalability in mind. Preferred: * Experience building personalization, recommendation, or search services. * Familiarity with ML model serving and inference pipelines. * Experience supporting A/B testing and experimentation platforms. * Knowledge of caching strategies, asynchronous processing, and message-driven systems. * Experience working in multi-tenant or multi-brand environments. ## Description Role Summary: The Senior AI Full Stack Software Engineer for Personalization Services is responsible for building and operating the backend APIs and services that deliver AI-driven personalization to Internet Brands' products. This role focuses on transforming ML outputs-retrieval results, rankings, scores, and signals-into reliable, low-latency services that power personalized user experiences in production. You will work closely with machine learning engineers, product managers, and platform architects to support rapid experimentation while maintaining high standards for performance, reliability, and scalability across multiple brands., Personalization Services & APIs * Design, develop, and maintain backend APIs and orchestration services that deliver personalized recommendations and content. * Build service layers that integrate retrieval, ranking, and ML model outputs into user-facing product experiences. * Implement request orchestration, fallback logic, and business rules to ensure consistent personalization behavior. * Apply GenAI to enhance personalization, through the use of AI Agents and Agent Memory. Performance, Reliability & Scale * Optimize personalization services for low latency, high throughput, and reliability. * Implement caching, timeout handling, and graceful degradation strategies. * Monitor service health, performance metrics, and error rates in production. * Ensure systems scale across high-traffic products and multiple brands. Experimentation & Iteration * Partner with Product Management and Machine Learning teams to support rapid experimentation and A/B testing. * Enable feature flags, model versioning, and configuration-driven experimentation. * Support fast iteration cycles while maintaining production stability. Collaboration & Platform Alignment * Collaborate with Machine Learning Engineers to integrate models into serving environments. * Work with the Principal Architect to align service design with platform architecture standards. * Partner with Data Engineering to ensure upstream data and features meet serving requirements. * Translate product requirements into robust technical implementations. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)