AI Engineer
SimplifyNext, Singapore
What you will do
- Build Agentic AI Systems
- Design and build sophisticated AI agents capable of independent operation, complex decision-making, and self-correction across domain-specific contexts.
- Develop orchestration workflows using frameworks such as LangChain, LangGraph, and/or the Microsoft Bot Framework to create robust conversational and task-oriented agents.
- Implement Retrieval-Augmented Generation (RAG) systems that connect agents to live, accurate knowledge bases — reducing hallucinations and improving output quality.
- Build Memory, Reasoning, and Planning (MRP) capabilities so agents can maintain context, reason across information, and execute multi-step plans.
- Design Agent-to-Agent (A2A) communication protocols that allow multiple autonomous agents to collaborate, delegate tasks, and exchange information securely.
- Work with LLM serving solutions (Ollama, vLLM) to ensure efficient, scalable inference in production environments.
- Deploy and Operate at Scale
- Deploy and manage AI systems on major cloud platforms — AWS, Azure, or GCP — ensuring high availability, security, and scalability.