Applied AI Engineer

Responsibilities

• Help customers succeed in building AI applications like chatbots, RAG applications, and AI agents using Redis technology
• Develop and maintain projects primarily written in Python, with potential involvement in JS, C/C++, Go, or Java
• Contribute to the AI ecosystem through integrations and deep dives into core Redis AI technology
• Provide technical consultation during sales calls and participate in enablement events as a subject matter expert
• Balance customer engineering (80%) with software development (20%)

Requirements

• 5+ years of professional programming experience in Python or a comparable language
• 2+ years of experience working with ML systems (MLOps) or utilizing AI/ML models
• Ability to independently learn and navigate new codebases
• Ownership mentality and a passion for building libraries and systems
• Ability to thrive in a fast-paced environment while juggling multiple projects

Preferred Qualifications

• Experience with patterns such as RAG, semantic caching, feature storage, and embedding generation
• Prior contributions to projects like Langchain, LlamaIndex, Semantic Kernel, or Redis-related projects
• Experience with MLOps systems for feature orchestration, such as Feast
• Strong passion for Vector Databases, LLMs, or AI systems in general

About the Company

Redis built the product that runs the fast apps our world runs on. From checking the weather to processing credit card transactions, Redis provides the fastest, simplest technology to over 10,000 customers worldwide. We are dedicated to creating a faster world with simpler experiences through innovation and a culture of curiosity.