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 Lead, 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:

• 5+ years of experience as an AI Engineer, including at least 2 years in a lead or architect role
• 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.

#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