Applied AI Engineer at Redis

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Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

238000.0

Posted On

03 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, C++, Go, Machine Learning, Deep Learning, Data Analysis, Data Visualization, AWS, SQL, Pandas, Numpy, Scikit-Learn, PyTorch, Redis, Graph Clustering

Industry

Software Development

Description

Who we are 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’ 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. 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. Develop/maintain projects (Python) using JS, C/C++, Go, Java; provide consultation during sales calls, leverage expertise in AI; participate in sales meetings, enablement, and other events as subject matter expert for Redis Vector Similarity Search; design/develop deep learning algorithms, machine learning recommendation systems; perform data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploy machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; use software libraries/platforms, AWS Sagemaker, Numpy, Scipy, Scikit-Learn, PyTorch, Snowflake, AWS Neptune); develop cutting-edge features; address issues; write software using impactful frameworks in AI; work with clients to create customized Redis AI-powered solutions for specific business/data service needs; provide technical consultation during sales calls for Redis Vector Similarity; perform data analysis/research on internal/external datasets using notebooks (Jupyter); participate in peer code reviews (GitHub) to ensure team standards; reduce bugs/quality issues; write/maintain automated software tests (PyTest) to ensure accurate, high quality code; research/implement fixes to client reported issues in Redis AI libraries; communicate status (GitHub, JIRA, and Zendesk); create/maintain self-contained examples to demonstrate use of Redis AI libraries (Jupyter, Docker); communicate status/proactively address issues; attend daily progress/cross department meetings; create/review Redis promotional materials for public; create documentation for AI software projects using internal/external CMS (Markdown READMEs); review academic research on AI using resources (ARVIX, Google Scholar) to adapt/apply new ideas to solve client problems; and support client technical deep dive session (AI, Redis libraries). This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Job Requirements: Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or Mechanical Engineering plus 1 year experience. Experience to include designing/developing deep learning algorithms, machine learning recommendation systems; performing data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploying machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; and using software libraries/platforms, AWS Sagemaker, Numpy, Scipy, Scikit-Learn, PyTorch, Snowflake, AWS Neptune). This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. The estimated gross base annual salary range for this role is $220,000 - 238,000 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. #LI-REMOTE #LI-WK1 #LI-DNI As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender 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.

Responsibilities

Develop and maintain projects using various programming languages and frameworks, while providing consultation during sales calls. Collaborate with clients to create customized Redis AI-powered solutions and participate in peer code reviews to ensure high-quality code.