Leads development of Reddit's large-scale GenAI Platform, including LLM Gateway, RAG applications, and agentic AI workflows. Requires 5+ years in ML/AI platform engineering with expertise in cloud, Kubernetes, and MLOps practices.
191k – 267k
Remote5+ YOEML Engineering
About the role
What You’ll Do
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.
Design and develop 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.
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.
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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191k – 267k
Remote5+ YOEML Engineering
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