Applied AI Engineer - Bay Area

RedisSan Francisco, CA
$211,022 - $263,822

About The Position

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%).

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 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • 401(k)
  • unlimited time off
  • learning and development opportunities
  • comprehensive health and wellness benefits
  • discretionary bonuses
  • stock options
  • commuter benefits based on location
  • commission plan
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