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RedisRedisUnited States

Senior Software Engineer, Context Engine

Builds core infrastructure for AI agents to access and assemble context using Redis, shipping fast with high autonomy. Requires 5+ years backend experience, strong Go proficiency, and hands-on AI agent development.

197k – 246k/yr
Remote5+ YOEBackend Engineering

About the role

What You’ll Do

  • 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.

What You’ll Need

  • 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

Nice to Have

  • 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

Skills

GoRedisAI AgentsAgentic SystemsKafkaFlinkRAGAWSGCPAzure

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