Senior Software Engineer, GenAI Platform

Reddit

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$190,800–$267,100 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $229k
$107k most similar roles pay here $284k

This role pays more than 85% of similar roles. Most pay $142,400–$218,543 — the shaded band above. At the midpoint, this role pays about $229k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 72 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 66 roles with salary data.

Most-posted roles

View all roles at Reddit

At a glance

TL;DR · Senior Software Engineer, GenAI Platform

As a Senior Software Engineer on Reddit’s Machine Learning Platform team, you will lead the development of a large-scale GenAI Platform, focusing on designing and implementing features like unified API endpoints for LLMs, rate/token limit management, and intelligent failover mechanisms. You’ll build enterprise-grade RAG applications using embeddings and vector search pipelines, implement agentic AI workflows with frameworks such as LangChain, and drive the adoption of MLOps practices including CI/CD automation and lifecycle management. The role requires deep experience with cloud-based technologies like AWS, Kubernetes, Terraform, Python, Go, TensorFlow, and PyTorch, along with strong communication skills to articulate technical concepts to non-technical stakeholders.

What you'll do

  • Design and implement the LLM Gateway with unified API endpoints for internal/external LLM.
  • Develop ML and Generative AI systems in cloud-based production environments at scale.
  • Build enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
  • Implement agentic AI workflows with tool use using frameworks like LangChain and LangGraph.
  • Drive adoption of MLOps practices including CI/CD automation, versioning, testing, and lifecycle management.
  • Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines.

What we're looking for

  • 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment.
  • Deep experience with cloud-based technologies and tools like AWS, Google Cloud Storage, Terraform.
  • Proficiency with programming languages and frameworks such as Python, Go, TensorFlow, PyTorch.
  • Strong ownership mindset and ability to lead platform delivery from concept to production.
  • Experience in designing and implementing ML and Generative AI systems at scale.
  • Knowledge of model serving, inference pipelines, monitoring, and observability for AI systems.

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