Location: Keangnam Tower, Hanoi (Hybrid Working) --------------------- WHAT WE DO: At Sun Asterisk, we are committed to building cutting-edge AI solutions that empower businesses and transform industries. As an AI Engineer , you will: Design, estimate and implement agentic AI workflows, integrating LLMs with APIs, tools, and external systems using frameworks such as LangChain, LlamaIndex, or Semantic Kernel. Collaborate with clients and business teams to clarify requirements, provide technical consultation, and perform estimations to design feasible AI solutions aligned with business and technical objectives. Collaborate with engineering teams to manage data pipelines including data ingestion, preparation, and labeling when applicable and implement, fine-tune, optimize, and deploy ML/LLM models into production Drive AI architecture decisions, ensuring scalability, reliability, and performance in production environments Establish measurable standards of AI output quality (accuracy, consistency, factuality, relevance) and ensure delivery meets or exceeds the performance metrics committed to clients Implement model validation and evaluation frameworks, including automated testing, human-in-the-loop feedback, and continuous performance monitoring to guarantee predictable outcomes Stay current with emerging AI, LLM, and agentic technologies, evaluating their applicability to business use cases. Mentor and inspire a high-performing AI engineering team, fostering innovation, responsibility, and excellence Oversee MLOps and CI/CD pipelines to enable stable releases and rapid iteration cycles WHO YOU ARE: #Experience Requirements Mandatory Skills: MUST: At least 4 years of experience as an AI Engineer or in a similar role, with hands-on experience deploying AI solutions to production. Hands-on experience with Generative AI (e.g., RAG, Vector Databases, LLM Fine-tuning, Stable Diffusion, Agentic AI Systems) Skilled in one or more technical domains: Computer Vision, NLP, Machine Learning, Audio Processing, Deep Learning Strong Python skills with solid software engineering fundamentals and practical experience in deploying and maintaining ML/AI systems in cloud environments (AWS / GCP / Azure) Solid understanding of MLOps workflows (CI/CD for ML, model versioning, retraining, monitoring) Familiar with data engineering concepts Proven experience in bidding, solution consulting, or pre-sales for AI-related projects. Desired Skills: Experience in model optimization for large-scale or LLM-based applications Experience in Agile leadership, mentoring engineers, and driving product excellence. #Skill requirements Strong English communication skills, both written and verbal Strong client-facing consulting and stakeholder communication abilities that can bridge technical and business discussions Outstanding teamwork and collaboration skills Proven ability to prioritize tasks and allocate work effectively in dynamic environments Sharp critical thinking and logical reasoning Strong problem-solving and decision-making capability. #Attitude Requirements Customer-centric mindset with a focus on delivering business value High adaptability and comfort with change or ambiguity Continuous learning attitude, with curiosity toward new AI technologies and practices Ownership-driven, proactive, and results-oriented in execution BENEFITS AND PERKS: Professional, open-minded, and creative environment: Work with colleagues who embrace ideas to change the society Respect different perspectives within a team Strong learning culture that promotes individual development The culture of taking risks to experience and thrive Focus on individual development Be consulted, accompanied, and supported in career development with the career path system (developing in expertise or management direction) that has been studied and tested for many years. Be oriented for individual, group, and organizational goals Be empowered Be supported to define a 3-month or 6-month goal (Goal Define Support) Get access to company Learning Hub online library with various courses provided by Udemy, LinkedIn,… Special care for employees Salary: Negotiable + competitive allowance (lunch, living allowance, beauty care, Japanese and IT certificates, etc.) Performance-based bonus and year-end bonus Performance review: Twice/a year Hybrid working policy; flexible check-in, check-out Comprehensive health insurance Sun* Care Seniority Allowance Women care allowance: Women’s physiological leave: 2.5 hours/month; Postpartum leave for female employees with under 1-year-old children: 1 hour/day Policies supporting learning activities, knowledge sharing, and cultural exchange (Technology Seminar – Tech Expert, Club: Reading, Japanese, Music Club, …) Annual company trip and quarterly team-building activities