[Onboard 2026] AI Engineer (English Fluency)

WHAT WE DOAt Sun Asterisk, we build and deliver AI-driven products and platforms that transform how businesses operate.As part of our AI Team, you will contribute to the end-to-end development, deployment, and scaling of AI systems that power real-world solutions for global clientsAs an AI Engineer, you will:Design, estimate, and develop features and productionize AI models and LLM applications, ensuring scalability, reliability, and measurable accuracy in client environmentsCollaborate with engineering teams to manage data pipelines — including data ingestion, preparation, and labeling when applicable — and to implement, fine-tune, optimize, and deploy ML/LLM models into productionImplement and maintain full AI pipelines — from data ingestion, preprocessing, training, and evaluation to cloud deployment (AWS, Azure, GCP) and CI/CD workflowsIntegrate AI solutions with client systems and APIs, ensuring smooth delivery and compliance with data and infrastructure standardsApply best practices for model validation, retraining, and continuous monitoring to guarantee predictable and transparent AI outputOptimize performance for latency, throughput, and cost efficiency across distributed systems and offshore environmentsContinuously explore and apply new AI/LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) to enhance product capability and innovationCollaborate across time zones and disciplines, ensuring clear communication, documented handoffs, and consistent delivery qualityWHO YOU ARE#Experience RequirementsAt least 2 years of experience working as an AI EngineerProficient in Python, with a strong understanding of OOP principles and coding standards (PEP8, Google Style, etc.)Solid foundation in advanced mathematics, including calculus, integration, multidimensional data processing, data structures, and algorithmsHands-on experience with Generative AI, such as RAG, Vector Databases, LLM fine-tuning, Stable Diffusion, etcExperience in one or more of the following domains: Computer Vision, NLP, Machine Learning, Audio Processing, Deep Learning, Cloud AI/ML Services (AWS, GCP, Azure), or Data EngineeringPractical experience with Git, RESTful APIs, Docker, SQL and NoSQL databases.#Skill requirementsExcellent English communication skillsOutstanding teamwork abilitiesProven ability to prioritize and allocate workSharp critical thinking and logical reasoningEffective problem-solving skills#Attitude RequirementsCustomer-centric mindsetAdaptability to changeCommitment to continuous learning and growthBENEFITS AND PERKSProfessional, open-minded, and creative environment:Work with colleagues who embrace ideas to change the society.Respect different perspectives within a teamStrong learning culture that promotes individual developmentThe culture of taking risks to experience and thriveFocus 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 goalsBe empoweredBe 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.)13th-month salary bonusPerformance review: Twice/a yearHybrid working policy; flexible check-in, check-outComprehensive health insurance Sun* CareSeniority AllowanceWomen care allowance: Women’s physiological leave: 2.5 hours/month; Postpartum leave for female employees with under 1-year-old children: 1 hour/dayPolicies 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.Note: By applying for this position, you consent to Sun* collecting, storing, and processing your personal data for current and future recruitment purposes. Your data may be shared with relevant parties involved in the recruitment process and will be retained indefinitely until you submit an official written request for its deletion.Working Place: Hybrid, work from home or office at Sun Asterisk Vietnam Co., Ltd - 13F, Keangnam Hanoi Landmark Tower, Yen Hoa, Ha Noi, Vietnam.Contact person: Hoang Nu Tu Trinh      + Mail: hoang.nu.tu.trinh@sun-asterisk.com  + Tel: 0868.216.798