AI Engineer

PENTAS VISION PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology company in Singapore is seeking a Technical Director for Agents to design and implement advanced AI systems. Responsibilities include developing a knowledge management system using LLM techniques and optimizing agent systems. Candidates should have a strong foundation in computer science and familiarity with LLM architectures. This role offers a chance to innovate in AI performance and contribute to leading-edge solutions.

Qualifications

• Bachelor's degree or above in Computer Science or a related field.
• Familiarity with LLM and MLLM network architectures.
• Experience in deploying and optimizing Agent systems.

Responsibilities

• Design and implement Agents, including memory and planning modules.
• Develop a knowledge base management system for Agents.
• Conduct in-depth research into developer and client needs.

Skills

LLM and MLLM network architectures

SQL Coding capabilities

Research and analysis

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LlamaIndex

MCP

Job description

Technical direction: Agent

What you will be doing:

• Design and implement Agents, including memory modules, planning modules, and tool-calling mechanisms.
• Develop a knowledge base management system for Agents, utilizing RAG (Retrieval-Augmented Generation) techniques to enhance the effectiveness of large language models.
• Build SQL Coding capabilities with strong code understanding, generation, debugging, and optimization features, adaptable to specific use cases and environments.
• Conduct in-depth research into the needs of developers, enterprise clients, and industry sectors. Gain a deep understanding of various model capabilities to define core functionalities for a large model development platform (e.g., workflow, Prompt Engineering, RAG enhancement, Agent frameworks).
• Based on the development platform, construct vertical scenario/industry solutions that deliver leading AI performance.
• Continuously track the latest advancements in Data Agents, Large Language Models (LLMs), and code completion technologies, driving the team's technical progress.

What you should have:

• Bachelor's degree or above in Computer Science or a related field.
• Familiar with LLM and MLLM network architectures, with experience in deployment and acceleration across different backends such as Transformer, vLLM, and SGLang.
• Deep understanding of the LLM technology stack (e.g., LangChain, LlamaIndex, MCP).
• Experience in designing and optimizing Agent systems.