Senior/Middle AI Engineer

Qualgo is an R&D center specializing in cybersecurity products and solutions. We are on a mission to build a trusted cyberspace where individuals and businesses can thrive with confidence. Role Summary:Join our growing AI team to design, build, and scale production-grade AI solutions across cloud and edge. You’ll turn prototypes into reliable, low-latency services - owning data/feature pipelines, training/evaluation, deployment, monitoring, and iteration. You’ll optimize performance and cost; implement safety guardrails, observability, and CI/CD/MLOps automations. You’ll also enable edge/on-device inference (mobile, desktop, browser, IoT), including model packaging and compression, hardware acceleration (CPU/GPU/NPU), offline/real-time constraints, telemetry, and OTA updates. Partner with data scientists, engineers, and product to ship user-facing features quickly and safely in a fast-paced, collaborative environment. Key Responsibilities:Design, deploy, and optimize LLM-based services, with models running in a self-hosted setup on cloud infrastructure.Build and maintain a centralized LLM Gateway to manage multi-model access and routingImplement and evolve Agent-to-Agent (A2A) communication and the Model Context Protocol (MCP) for agent collaboration.Design and integrate a powerful Agent Memory System, including a dynamic knowledge base and contextual memory to empower intelligent behavior.Apply model optimization techniques to improve inference efficiency and cost-effectiveness.Develop and operate MLOps pipelines for model lifecycle management.Ensure system scalability, reliability, and performance across diverse workloads.Collaborate across teams to bring intelligent agents into real-world applications.Perform the duties and tasks assigned by your direct report or as otherwise instructed by the Company.