Note: The job is a remote job and is open to candidates in USA. Redis is a company that builds products for fast applications used worldwide. As a Senior Engineer on the Context Engine team, you will design and implement core infrastructure for AI agents, contributing directly to product direction while operating with high autonomy and velocity.
Responsibilities
- Build Context Infrastructure: Design and implement the systems that create, transform, and deliver context to AI agents—optimized for speed, relevance, and scale on top of Redis
- Ship Fast: Operate with startup-level velocity inside a well-resourced company. Prototype, test, and ship features in tight cycles. We value working software over long planning horizons
- Shape the Product: Contribute directly to product direction. You’ll work closely with leadership to define what we build, not just how we build it
- Write Great Go: Our Context Engine is built in Go. You’ll write clean, performant, production-grade code and set quality standards for the team
- Build with Agents: Use agentic coding tools and workflows daily. We expect you to be fluent in AI-assisted development and to push the boundaries of what’s possible
- Own Your Domain: Take full ownership of the systems you build—from design through production. High autonomy means high accountability
Skills
- 5+ years of experience in backend or infrastructure engineering, with a track record of shipping production systems
- Strong proficiency in Go
- Hands-on experience building AI agents or agentic systems—you understand how agents reason, plan, and use tools
- Fluency with agentic coding tools and AI-assisted development workflows
- Demonstrated high ownership and autonomy—you've thrived in environments where you set your own direction
- Strong opinions on the future of agents, context, and AI infrastructure—and the ability to back them up with working code
- Excellent communication skills—able to collaborate effectively across a distributed, global team
- Founder experience—you've started a company, built a product from scratch, or operated at the zero-to-one stage
- Experience with data infrastructure, streaming systems, or real-time data platforms (Kafka, Flink, Redis, or similar)
- Background in ML infrastructure, vector search, or retrieval-augmented generation (RAG) systems
- Contributions to open-source projects in the AI/ML or data infrastructure space
- Experience with cloud platforms (AWS, GCP, Azure) and modern deployment practices
Benefits
- Competitive Compensation: Salary, equity, and comprehensive benefits.
- Global & Flexible: A distributed team that values output over hours, with the flexibility to do your best work from anywhere.
- 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.
- 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 [email protected]. 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.
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