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Senior LLMOps Engineer

Kong provides API management solutions and enterprise API gateway platforms with AI capabilities.
Cloud
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior LLMOps Engineer

Kong is seeking a Senior LLMOps Engineer to join their team in Bangalore as a founding member of their new LLMOps platform team. This role is crucial in powering Kong's API Management suite, including the Kong Enterprise AI Gateway and Konnect, which support multiple AI capabilities for customers. The position focuses on building and managing a LLM SaaS platform that will serve all engineering teams at Kong, ensuring high reliability and security.

The AI Gateway offers a unified API for managing multiple Large Language Models (LLMs), allowing seamless switching between different AI providers. It implements various AI policies such as semantic caching, advanced routing and load balancing, prompt guards, and PII sanitization. The platform must maintain high reliability with 99.99% uptime SLOs while supporting the company's AI innovation initiatives.

As the founding member of the LLMOps team, you'll be responsible for shaping the technical direction of AI innovation at Kong, collaborating with product leadership, and helping grow the team. The role requires extensive experience in SaaS/PaaS systems, cloud platforms, and AI technologies, combined with strong communication skills and incident management capabilities.

This is an excellent opportunity for a senior engineer passionate about AI and distributed systems to make a significant impact on a company's AI infrastructure and help shape the future of API management with AI capabilities. The hybrid work environment in Bangalore offers flexibility while maintaining team collaboration.

Last updated 11 days ago

Responsibilities For Senior LLMOps Engineer

  • Be the founding member of the LLMOps team
  • Provide an LLM SaaS platform for all engineering teams at Kong
  • Manage model lifecycle with high reliability and uptime SLOs (at least 99.99%)
  • Fine tune the platform to provide AI security and high throughput for LLM queries
  • Own the end-to-end deployment architecture of the LLM SaaS platform
  • Shape the technical direction for AI innovation in Kong
  • Collaborate with product leadership on strategy and roadmap
  • Assist in hiring process and help grow and mentor the team

Requirements For Senior LLMOps Engineer

Kubernetes
  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in building and operating highly reliable SaaS/PaaS systems
  • Prior ownership of uptime SLOs for a platform operating at 99.99% or higher
  • Hands-on experience with major cloud platforms (AWS, Azure, or GCP)
  • Strong experience with AI platforms in public clouds (like Bedrock, Vertex AI, etc.)
  • Familiarity with observability tools (Datadog, Prometheus, Grafana, Victoria Metrics, Loki)
  • Expertise in designing and developing highly scalable distributed systems
  • Experience managing incidents and communicating under high-pressure situations
  • Strong verbal and written communication skills

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