Senior AI Engineer (LLM, RAG, Azure, MLOps)

Top 3 reasons to join us

• Competitive salary + Healthcare insurance package.
• Flexible Working Hours
• 13th month and productivity bonus.

Job description

• 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.

• 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.

• 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.

• 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.

• 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

• 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…