Qualgo Technologies

Overview of job

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 routing
• Implement 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.

• Competitive salary and benefits package.
• Opportunity to work on a product that impacts millions of users.
• A dynamic and supportive work environment.
• Premium health insurance for you and your family.
• Professional growth and development opportunities.
• Annual leave 12 - 14 days per year + 1 Birthday Leave + 1 X’Mas.
• Performance review: once per year.
• Internal training/sharing and professional Training courses.
• Team building, company trip, year end party, monthly activities.
• Devices: Macbook and screen (If needed).
• Free tea and coffee.
• Comfortable working area.
• Working hour: 9 am – 6pm from Monday to Friday.

• Education: Bachelor’s degree/ Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.
• Minimum 3 years of experience for Middle-level roles, or 5 years for Senior-level roles in AI/ML/DL engineering or similar positions.
• Strong programming skills in Python and experience with containerized and cloud-native environment.
• Solid understanding of AI/ML/DL model deployment, including serving, optimization, and context-aware design
• Experience in building systems with agent orchestration, memory management, and structured communication protocols
• Familiarity with retrieval-augmented generation, semantic memory, and message-driven workflows
• Hands-on experience working with GPU (NVIDIA) or TPU environments, including model quantization and other performance optimization techniques.
• Practical experience with MLOps pipelines for training, versioning, and deploying machine learning models
• Bonus: experience with agent-based architecture, LLM streaming patterns, Golang, and a strong foundation in mathematics, statistics, or linear algebra
• Fluency in English is a plus.