Senior AI Engineer (Scalable Systems | Azure | MLOps)

✨ Key Responsibilities

• Design and develop AI-powered solutions using Azure AI services and modern LLM technologies
• Integrate AI capabilities into CI/CD pipelines and Azure DevOps workflows
• Leverage GitHub Copilot to improve code quality, testing, and documentation efficiency
• Build and enhance backend services using C#/.NET
• Implement and maintain REST APIs and microservices architectures
• Develop and optimize prompt engineering and AI agent workflows
• Apply and contribute to MLOps / LLMOps practices to support deployment, monitoring, and continuous improvement of AI solutions
• Collaborate with cross-functional teams to drive AI adoption in software development

✨ Required Qualifications

• 6+ years of software engineering experience
• Hands-on experience in ML/AI system development (end-to-end exposure preferred)
• Strong understanding of system architecture & infrastructure design
• Experience in scalable AI services
• Solid background in Cloud + MLOps
• Strong database & data architecture knowledge
• Good English communication

✨ Nice-to-have

• Experience in model tuning/customization
• Familiarity with Agentic AI systems
• Deep understanding of AI concepts (e.g. bias, optimization, evaluation)
• Relevant Cloud/AI certifications

✨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…