Applied AI Engineer - Bay Area

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? Why would you love this job? We are seeking a highly skilled and motivated Senior Applied AI Engineer to join our small but efficient Applied AI Engineering Team. As a part of this team, you will play a crucial role in helping our customers succeed with AI, writing demo applications, delving deep in core Redis AI technology, and contributing to AI ecosystem integrations. This position requires a strong focus on customer engineering (80%) and some software development (20%). What you’ll do: · Help our customers succeed in building AI applications with Redis. Our customers are building chatbots, RAG applications, and AI agents, and they need your expertise. · Develop and maintain projects primarily written in Python, with possible involvement in JS, C/C++, Go, or Java depending on your skillset. · Occasionally provide consultation during sales calls, leveraging your expertise in AI. · Occasionally participate in sales meetings, enablement, and other events as a subject matter expert. What will you need to have? · Minimum of 5 years of professional programming experience in Python or a comparable language. · At least 2 years of experience working on ML systems (MLOps), or utilizing AI/ML models. · Willingness to admit when you don’t know something and actively seek opportunities for learning and growth. · Passion for building libraries and systems · Ability to independently learn and navigate new codebases · Ownership mentality, going above and beyond what is required because you genuinely enjoy this type of work. · Excitement about working on projects that are Open Source and/or accessible to the world. · Enjoyment of working in a fast-paced environment with multiple projects to juggle simultaneously. Extra nice if you have: · Prior contributions to projects like Langchain, LlamaIndex, Semantic Kernel, Redis-related projects, or MLOps systems for feature orchestration like Feast. · Knowledge of patterns such as RAG, semantic caching, feature storage and embedding generation. · A strong passion for Vector Databases, LLMs, or AI systems in general. The estimated gross base annual salary range for this role is $175,822 – $263,822 per year in New York, California, Washington, Colorado, and Rhode Island. Actual