AI Engineer
Summary
Build and deploy LLM-powered apps (chatbots, document analyzers, code generators) using RAG, agents, and prompt engineering, while integrating GenAI pipelines into production systems.
Job Description:
- Develop and deploy applications that use LLMs (e.g., chatbots, document analyzers, code generators).
- Fine-tune and evaluate LLMs using custom datasets.
- Implement RAG (retrieval-augmented generation), agents, or multi-step reasoning workflows.
- Integrate GenAI pipelines into production systems using ML Ops tools (e.g., ML flow, Azure ML, Databricks).
- Build and monitor inference APIs with performance and cost considerations.
- Apply prompt engineering, vector databases, and orchestration frameworks.
- Ensure responsible AI practices, including model explainability, bias mitigation, and security
Job Requirements:
- Insurance experience in Corporate & Speciality space
- Experience in prompt engineering, Copilot Studio
Interested applicants, please email your resume to Lim Tyn Wei Crystal (Clara)
Email: [email protected]
CEI Reg No:R23117784
EA Licence No: 99C4599