AI Solution Engineer

Responsibilities

• Work closely with business teams to transform real-world challenges into scalable AI solutions.
• Design, develop, and deploy AI/LLM-driven applications from concept to full production.
• Create AI agents that integrate RAG, structured data querying (SQL/vector), and tool/function calls.
• Enhance the reliability, observability, and performance of deployed AI systems.
• Conduct technical experiments and proofs of concept to assess new AI frameworks, models, and architectures.
• Provide technical insights to ongoing AI strategy discussions through hands-on experimentation and benchmarking.

Requirements

• Bachelor Degree in Information Technology, or related
• 3-5 years of experience in AI, software engineering, or backend development.
• A strong passion for AI, along with a solid grasp of the latest advancements in AI technologies.
• Proficient in Python with experience in building APIs or backend services.
• Proven track record of collaborating with business stakeholders to design and implement AI-powered solutions, particularly in generative and agentic AI; experience in the real estate sector is advantageous.
• Familiarity with RAG pipelines, vector databases, SQL, and structured data integration; experience with tool/function calling workflows, Docker, Git, and current deployment practices is required.
• Basic knowledge of data modeling concepts pertinent to AI agents.
• Strong analytical skills and the ability to articulate technical trade-offs effectively.
• Experience with agent orchestration frameworks or multi-step workflows is a bonus.
• Knowledge of evaluation, tracing, or LLM observability tools is preferred.

Click "Apply Now" to apply for this position or call Stella Tang at [+852 3180 4977](tel:+852 3180 4977) for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.