Back End Developer

Backend Engineer for Content Curation/Labeling – 6 month Contract – Remote – 55 GBP per Hour Must Have Amazon Web Services (AWS) Applied Machine Learning Google Cloud Kafka Kubernetes LLM RAG Redis Role The Content Ops team categorizes and labels all kinds of content on Reddit: posts, subreddits, topics, you name it. This is critical in serving our users the best experiences, so we can align our content with their interests and intents as much as possible. Our ability to understand and curate content is critical to Reddit’s continued growth and success. The team needs a backend engineer who is well-versed in LLMs: prompt engineering, scripting jobs, retrieval-augmented generation, and automated data processing. To accelerate our goals, the team needs an engineer who can utilize the latest LLMs to parse through, categorize, and output content classification. The successful candidate is a driven self-starter with an eye for automation and optimization. Key Responsibilities Automation: crafting scripts and systems to automate manual processes, with clear error handling, observability, and fallback mechanisms. RAG & Classification: utilizing LLMs to parse through tons of content, classifying it, and refining over multiple rounds of RAG. Systems Architecture: We need automation solutions that will stand the test of time within the broader Reddit ecosystem, and can be used for future classification and refinement work. Technical Skills Experience integrating with LLMs and RAG. Proficiency in Python and scripting. Proficiency in testing. Ability to naturally write clear, unconvoluted, testable code. Experience with Kubernetes, Kafka, Redis. Experience with AWS and/or Google Cloud. Soft Skills Strong team player. Strong communication skills. Bonus Experience Experience with highly scalable systems. Experience with ML systems is a big plus!