Senior Software Engineer, GenAI Platform

Job Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, you will lead the development of a large-scale GenAI Platform at Reddit. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. Designed and developed ML and Generative AI systems in cloud-based production environments at scale. Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines. Implement and operationalize agentic AI workflows with tool use using frameworks such as LangChain and LangGraph. Drive adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management. Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production. Strong ownership mindset and platform thinking. Ability to lead AI platform delivery from concept to production. Who You Might Be: 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. Have experience operating orchestration systems such as Kubernetes at scale Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraf

Required Skills