Senior LLM Developer

Hays Hong Kong
Full time Contract On-site Competitive

About the job

Responsibility:
  • Lead the design, development, and deployment of enterprise-grade LLM and Agentic AI applications.
  • Build intelligent multi-step AI workflows involving planning, tool execution, reasoning, retries, and structured outputs.
  • Design scalable and reliable application architectures beyond proof-of-concept solutions.
  • Integrate AI solutions with APIs, enterprise platforms, databases, and front-end applications.
  • Develop and optimise Retrieval-Augmented Generation (RAG) pipelines, vector search, embeddings, and context management frameworks.
  • Establish best practices for LLM evaluation, testing, monitoring, observability, and version management.
  • Drive performance optimisation across AI applications, including latency, cost efficiency, reliability, and security.
  • Translate business requirements into practical technical solutions and architectural designs.
  • Collaborate closely with Data Scientists, Product Teams, Engineers, and business stakeholders to deliver AI initiatives.
  • Contribute to engineering excellence through code reviews, technical guidance, and continuous improvement of development standards.
Requirements:
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of software engineering experience with strong Python development skills.
  • Proven experience delivering production-ready LLM, GenAI, or Agentic AI solutions.
  • Hands-on expertise with agent frameworks such as LangGraph, LangChain, or similar technologies.
  • Solid knowledge of RAG, vector databases, embeddings, and LLM orchestration.
  • Experience in integrating AI applications with APIs, enterprise systems, databases, and front-end platforms.
  • Strong with LLMOps, evaluation frameworks, testing, monitoring, and observability.
  • Excellent problem-solving, communication, and stakeholder management skills.
If you're interested in this role, please forward your latest resume to [email protected] or contact Cheryl Ng at +852 2101 0081