
Kong AI Gateway Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Illinois.
• Act as a technical lead concentrating on Kong AI Gateway.
• Design, architect, build, test, and support contemporary digital products.
• Oversee applications throughout their production lifecycle and drive overall success against key performance indicators.
• Create and implement enterprise-level AI Gateway solutions utilizing Kong AI Gateway.
• Configure AI-specific policies such as prompt logging, content filtering, token management, and guardrails.
• Facilitate secure access to various LLM providers through a unified gateway architecture.
• Implement AI observability, token analytics, usage monitoring, and cost governance.
• Develop routing strategies across multiple AI models based on factors like latency, cost, and availability.
• Integrate RAG-based AI services via secure API management frameworks.
• Ensure adherence to enterprise AI governance, security, and regulatory standards.
• Establish AI platform standards, reusable AI APIs, and best practices for GenAI adoption.
• Support AI agent and MCP-based integrations within enterprise ecosystems.
• Promote reliability, scalability, and operational excellence of the AI platform.
• Configure, manage, and support Kong Gateway environments.
• Develop and manage AI Gateway proxies for GenAI/LLM services.
• Enforce API security, authentication, throttling, and governance policies.
• Integrate AI platforms such as Azure OpenAI and OpenAI through secure API gateways.
• Deploy and manage Kong in Kubernetes-based environments.
• Monitor, troubleshoot, and enhance gateway performance and availability.
• Automate deployments and operational processes using DevOps tools.
• Candidates should be able to work during Central Time or Eastern Time hours.
• Over 8 years of experience in API Management, Middleware, or Platform Engineering.
• At least 3 to 5 years of hands-on experience with Kong Gateway Administration.
• Preferred experience with cloud-native and microservices architectures.
• Familiarity with Kong Gateway (OSS/Enterprise), Kong Konnect.
• Expertise in API Management & API Lifecycle Management.
• Experience in AI Gateway / LLM Proxy Development.
• Knowledge of OpenAI / Azure OpenAI Integration.
• Proficiency in REST APIs, GraphQL.
• Understanding of OAuth2, JWT, OIDC, API Security.
• Experience with Kubernetes, Docker, Helm.
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
• Monitoring experience with Prometheus, Grafana, ELK/Splunk.
• Proficiency in cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Kong AI Gateway Configuration & Administration.
• Experience with LLM Traffic Routing, Load Balancing, and Failover Management.
• Familiarity with Prompt Management, Prompt Security, and Guardrails.
• Understanding of AI Security, Responsible AI, and Model Governance.
• Experience in Token Usage Monitoring, Rate Limiting, and Cost Optimization.
• Knowledge of Multi-LLM Integration (OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Mistral, Llama).
• Familiarity with Retrieval-Augmented Generation (RAG) Architecture Concepts.
• Understanding of Vector Databases.
• Experience in LLMOps, AI Observability, and Model Performance Monitoring.
• Knowledge of AI API Governance, Compliance, and Data Protection.
• Familiarity with Prompt Caching, Semantic Caching, and Response Optimization.
• Experience in Model Gateway Policy Development and AI Consumption Controls.
• Understanding of MCP (Model Context Protocol) and AI Agent Integration Concepts.
• Experience in GenAI Platform Engineering and Enterprise AI Enablement.
• Candidates selected for this position will be required to undergo a background investigation.
• Allstate typically does not sponsor individuals for employment-based visas for this role.
• Comprehensive technology setup, which includes a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for eligible employees working from home.
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