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:

Collaborate across teams to bring intelligent agents into real- world applications.
Design and integrate a powerful Agent Memory System, including a dynamic knowledge base and contextual memory to empower intelligent behavior.
Perform the duties and tasks assigned by your direct report or as otherwise instructed by the Company.
Implement and evolve Agent- to- Agent (A2A) communication and the Model Context Protocol (MCP) for agent collaboration.
Ensure system scalability, reliability, and performance across diverse workloads.
Develop and operate MLOps pipelines for model lifecycle management.
Apply model optimization techniques to improve inference efficiency and cost- effectiveness.
Build and maintain a centralized LLM Gateway to manage multi- model access and routing
Design, deploy, and optimize LLM- based services, with models running in a self- hosted setup on cloud infrastructure.

Yêu cầu công việc

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

Tại sao bạn sẽ yêu thích làm việc tại đây

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

Cập nhật gần nhất lúc: 2025-11-17 22:55:03