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Applied AI Engineer - Bay Area

Job Overview

Location

HQ (San Francisco)

Job Type

Full-time

Category

Software Engineer

Date Posted

May 17, 2026

Full Job Description

đź“‹ Description

  • • Help customers successfully build AI applications using Redis technology, focusing on chatbots, RAG applications, and AI agents.
  • • Develop and maintain demo applications and technical projects primarily in Python, with potential involvement in JavaScript, C/C++, Go, or Java based on skillset and project needs.
  • • Serve as a technical subject matter expert during sales calls and customer-facing engagements, providing clear, actionable AI/ML guidance.
  • • Participate in sales enablement events, product demos, and customer workshops to drive adoption of Redis AI capabilities.
  • • Deeply engage with core Redis AI technology to optimize performance, reliability, and integration for real-world use cases.
  • • Contribute to open-source AI ecosystem integrations, including alignment with frameworks like Langchain, LlamaIndex, and Semantic Kernel.
  • • Design and implement systems for semantic caching, embedding generation, feature storage, and vector database operations.
  • • Collaborate across engineering, product, and sales teams to translate customer challenges into technical solutions and product improvements.
  • • Independently learn and navigate complex, rapidly evolving codebases related to AI, machine learning, and high-performance data systems.
  • • Maintain ownership of projects from concept to deployment, ensuring they meet customer needs and exceed technical standards.
  • • Prioritize open-source contributions and public-facing documentation to amplify Redis’s impact within the global AI developer community.
  • • Manage multiple concurrent technical initiatives in a fast-paced environment, balancing customer demands with internal development priorities.
  • • Stay current with advancements in LLMs, vector databases, MLOps, and retrieval-augmented generation techniques to inform solution design.
  • • Provide technical consultancy to internal teams and external customers on best practices for deploying scalable, production-grade AI systems.
  • • Advocate for customer-driven innovation by synthesizing feedback into technical requirements and product feedback loops.
  • • Document technical workflows, APIs, and integration patterns to enable broader team adoption and reduce onboarding friction.
  • • Embrace a culture of curiosity and continuous learning, openly acknowledging knowledge gaps and proactively seeking growth opportunities.
  • • Champion Redis’s mission of creating a faster world with simpler AI experiences through clear, practical, and accessible technical work.

🎯 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.

🏖️ Benefits

  • • Estimated gross base annual salary range of $175,822 – $263,822 per year in New York, California, Washington, Colorado, and Rhode Island.
  • • 401(k) plan.
  • • Unlimited time off.
  • • Learning and development opportunities.
  • • Comprehensive health and wellness benefits.
  • • Discretionary bonuses and stock options.
  • • Commuter benefits based on location.
  • • Potential commission plan.

Skills & Technologies

Python
JavaScript
Java
Redis
Data Science
Onsite
$175k-263k

Ready to Apply?

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About Redis Ltd.

Redis is a leading provider of real-time data solutions, specializing in an in-memory data structure store used as a database, cache, and message broker. Its core offering, Redis Enterprise, provides a high-performance, scalable, and reliable platform for applications requiring instant data access and processing. The company serves a wide range of industries, including finance, e-commerce, gaming, and telecommunications, enabling businesses to build faster, more responsive applications. Redis is recognized for its open-source roots and its commitment to innovation in the database and data management space, empowering developers and enterprises to leverage the power of real-time data.

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