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RedisRedisSan Francisco, CA

Applied AI Engineer - Bay Area

Senior Applied AI Engineer focused on helping customers build AI apps with Redis (80% customer engineering, 20% development). Requires 5+ years Python experience and 2+ years in ML systems.

211k – 264k
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Help customers succeed in building AI applications with Redis, including chatbots, RAG applications, and AI agents
  • Develop and maintain projects primarily written in Python, with possible involvement in JS, C/C++, Go, or Java
  • Occasionally provide consultation during sales calls, leveraging expertise in AI
  • Occasionally participate in sales meetings, enablement, and other events as a subject matter expert

Requirements

  • 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
  • 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

Nice to 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

Skills

PythonMachine LearningMLOpsLangChainLlamaindexSemantic KernelFeastRAGVector DatabasesLLMs

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