Senior Software Engineer, GenAI Platform
Reddit, Inc. - Remote - United States
Posted Mar 26, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Senior Software Engineer, GenAI Platform Remote - United States 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 126 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
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