Senior Applied AI Engineer -NYC

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’ native 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.

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.

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

• 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.

• 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-native ops (AWS, GCP, Azure) and infrastructure-as-code
• TypeScript, Java, or Rust skills for multi-language 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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