Applied AI Engineer - Bay Area

Redis•San Francisco, CA

1d•$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.