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:

• At least 2 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

• Excellent 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.

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