About this role
Architect and deploy production-grade LLM applications, including RAG systems and autonomous multi-agent workflows. Optimize open-source model inference and implement fine-tuning pipelines for enterprise-scale AI services.
Requires a Bachelor's degree in CS or AI and 2+ years of professional experience deploying LLM systems at scale. Must be proficient in Python, LLM frameworks like LangChain, and model serving infrastructure such as vLLM.
What they're looking for
Large Language ModelsAgentic AIRAG SystemsPrompt EngineeringModel DeploymentInference OptimizationFine-TuningPython
Frequently asked questions
What does a AI Engineer (Managed Services) at AvePoint do?
Architect and deploy production-grade LLM applications, including RAG systems and autonomous multi-agent workflows. Optimize open-source model inference and implement fine-tuning pipelines for enterprise-scale AI services. Requires a Bachelor's degree in CS or AI and 2+ years of professional experie…
What skills does this AI Engineer (Managed Services) role need?
Key skills for this role include Large Language Models, Agentic AI, RAG Systems, Prompt Engineering, Model Deployment, Inference Optimization.
How much does a AI Engineer (Managed Services) at AvePoint pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this AI Engineer (Managed Services) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this AI Engineer (Managed Services) role?
You can apply directly on AvePoint's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.