Skip to content
Tuyển Dụng
← MiTek Vietnam

Senior AI Engineer LLM, RAG, Azure, MLOps

MiTek Vietnam · Hồ Chí Minh
Apply on official site ↗
Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận 7, Hồ Chí Minh, Hồ Chí Minh

Overview

  • AI Solution Development
  • Design, build, and deploy AI/ML applications and services for production environments.
  • Participate in technical design discussions and contribute to architecture decisions for AI-driven systems.
  • Develop scalable and maintainable AI solutions aligned with business and technical requirements.
  • Evaluate and implement advanced AI techniques to improve system performance and user experience.
  • Generative AI & Machine Learning
  • Design and implement modern AI solutions utilizing technologies and approaches such as:• Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Model Context Protocol (MCP)
  • Agentic AI frameworks and workflows
  • Optimize AI applications for performance, accuracy, reliability, and scalability.
  • Collaborate with product and engineering teams to integrate AI capabilities into software products.
  • Cloud & MLOps
  • Build and maintain AI solutions on cloud platforms, preferably Microsoft Azure.
  • Develop and manage MLOps pipelines covering model deployment, monitoring, versioning, and continuous improvement.
  • Deploy and operate containerized applications using technologies such as Docker and Kubernetes.
  • Support production operations and continuously improve system reliability and performance.
  • Data & System Design
  • Work with structured and unstructured data to support AI model development and deployment.
  • Design and optimize data pipelines, databases, and data storage solutions for AI workloads.
  • Contribute to the design of scalable AI services capable of supporting growing business demands.
  • Collaboration & Leadership
  • Take ownership of assigned initiatives and deliver high-quality solutions.
  • Mentor junior engineers and share best practices across the team.
  • Collaborate effectively with stakeholders, product teams, and other engineering functions.
  • Actively contribute to technical discussions, code reviews, and continuous improvement initiatives.
  • Your Skills and Experience

Requirements

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • 5+ years of experience in software engineering, machine learning engineering, or AI development.
  • Experience designing scalable and reliable AI services.
  • Strong programming skills in Python.
  • Strong analytical, problem-solving, and communication skills.
  • Demonstrated ownership, accountability, and ability to work independently.
  • Proven experience building and deploying AI/ML applications in production environments.
  • Experience contributing to system design and technical architecture decisions.
  • Strong knowledge of machine learning, generative AI, and modern AI application development.
  • Hands-on experience with:• Microsoft Azure or other major cloud platforms
  • MLOps tools and practices
  • Docker and container orchestration technologies
  • Model and service deployment
  • Databases and data warehouse solutions
  • Why You'll Love Working Here
  • Competitive salary with 13th‑month bonus, productivity bonus, and annual salary review
  • Comprehensive healthcare package, including 24/24 personal accident insurance
  • State‑of‑the‑art office environment (gym, shower, basketball & soccer field) with a high‑end laptop provided
  • Work hand‑in‑hand with global software teams (Australia, New Zealand, UK, US, Canada…)
  • Strong learning culture: paid self‑learning hours, LinkedIn Learning & Pluralsight access, in‑person classes with professional trainers (leadership, soft skills, English…), workshops, technical sharing activities...
  • Clear career development with structured onboarding, ongoing training, and a mentorship program
  • Flexible working: 5‑day work week and flexible start times
  • Free lunch and free parking
  • Team bonding through quarterly team‑building events, yearly company outing, and a special 3‑year anniversary trip
  • Active social clubs: gym, yoga, football, badminton, swimming…

Benefits

BonusHealthcareTrainingLaptop / equipmentParking

Summary of facts from the official posting. View original ↗

Interested in this role?

You'll be taken to the employer's official application page.

Apply on official site ↗
Is this your business? Claim this page, request edits or removal
→