We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business—whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in?
Who We Are
Organizations rely on Redis when every millisecond counts—whether it's powering game leaderboards, fraud detection, or conversational AI. As generative AI moves from POC to production, Redis' search, semantic caching, and flexible data structures provide agent frameworks and RAG pipelines with a fast, dependable memory layer. We're doubling down on the AI ecosystem and scaling the team, creating new opportunities to shape the next chapter of real-time, intelligent apps.
Why You'll Love This Role
You'll join an influential, high-autonomy engineering team whose work powers Redis' most visible AI integrations. One sprint you may publish a new LangGraph connector; the next you'll pair with a Fortune 100 customer to harden a pilot RAG service. Your work ships in the open (on GitHub), in conference workshops, and inside customer proofs of concept—so you'll drive immediate company revenue while also building a strong public portfolio. Come join an incredible team, ecosystem, and company working on the product that millions of developers love.
What You'll Do
Build & Maintain AI-Ecosystem Integrations
Design, implement, and release open-source SDKs, plugins, and reference apps that marry Redis with agent frameworks (LangGraph, AutoGen, etc.)
Triage GitHub issues, review community PRs, and guard automated test coverage
Evolve pipelines for linting, integration testing, and PyPI/NPM publishing
Drive Customer Implementations
Embed with strategic customers for short POCs or pilots; transform lessons learned into public recipes and example projects
Help bridge the gap between ideation and business value by leveraging GenAI
Collaborate Cross-Functionally
Work shoulder-to-shoulder with Redis Pre-Sales Engineering on technical evaluations, with Product Marketing and DevRel on launch content, and with ecosystem partners to co-design solutions
Close the Feedback Loop
Channel real-world performance findings, bleeding edge techniques, and feature requests back to Redis product and core-engineering teams
What You'll Need
Production GenAI Experience
— You've shipped agentic or RAG systems in Python using LangGraph, AutoGen, or a similar framework.
Demonstrated Engineering Fundamentals
— Comfortable with Git workflows, code reviews, automated testing, and containerization
Open-Source Track Record
— Demonstrable contributions through code, docs, or issue triage
Communication Skills
— Ready to explain code internals to engineers, design choices to architects, and walk non-technical leaders through a demo with targeted business value
Self-Direction & Ownership
— You set goals, unblock yourself, communicate well with the team, and surface risks early—no micromanagement required.
Nice-to-Haves
Previous experience in a
customer-facing engineering
or solutions-focused role.
Familiarity with Redis modules (Search, JSON, Gears) or other high-throughput datastores
Exposure to cloud- ops (AWS, GCP, Azure) and infrastructure-as-code
TypeScript, Java, or Rust skills for multi- demo stacks
The estimated gross base annual salary range for this role is $175,822 – $263,822 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate's work location, qualifications, experience, and competencies. Base annual salary is one component of Redis' total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available.
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As a global company, we value a culture of curiosity, of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees' are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of , , ancestry, , , , , , marital status, , , expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.