Software Engineer 2, AI Gateway
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You will join the engineering team that builds the Kong AI gateway, empowering companies and developers around the world to govern every step of their AI & LLM based innovation.
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As a Software Engineer in the AI Gateway Team, you will be working on core features such as multi-LLM routing and balancing, semantic caching and routing, MCP, and more.
What You'll Do:- Responsible for building and maintaining API management software for AI and LLMs and its underlying stack.
- Implement new innovative features including proxying capabilities, load balancing, databases support that extend Kong AI Gateway’s offering.
- Bugs troubleshooting, performance tuning and low-level optimizations.
- Fill the gaps between Kong and third-party deployment platforms and tooling.
- Any additional tasks required by manager.
- 3+ years of programming in server-side applications and components.
- Hands on experience with either Golang or Rust
- Experience building and debugging applications that are highly scalable, distributed, reliable and resilient.
- Solid hands-on low-level technical expertise in Linux systems troubleshooting, and profiling.
- Experience in distributed systems, Linux networking stack and computer systems programming, Kong works with APIs on both L7 and L4 transports and protocols, so this expertise and knowledge are required.
- Comfortable working with a remotely distributed team.
- Strong sense of ownership and excellent verbal and written communication skills -- engineers at Kong write the documentation for their products
- Familiarity with AI LLM concepts and applications development
- Hands on experience with NGINX/OpenResty/Kong/LuaJIT.
- Hands on experience with Envoy or Istio. xysqume
Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit J-18808-Ljbffr
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