Reddit

Senior Software Engineer, GenAI Platform

$191K–$267KFull-time · Remote - United States
✓ Verified live on the employer's own system · added 136 days ago
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Mid-level · 5+ yrs exp

Requirements

Experience: 5+ years

Skills & tools

Machine LearningMaintenanceRest ApisManagementOperationsDevopsCloud PlatformsProgramming
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Full job description

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.

- Ability to lead AI platform delivery from concept to production.

- 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 (Terraform), and more

- Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.

- Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders

- Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.

- Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus

- Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch is a plus

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