AI Engineer - LLM & AI Agent

IT CONSULTANCY & SERVICES PTE LTD; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

IT Consultancy & Services Pte Ltd is seeking a qualified candidate to design, develop, and enhance LLM-based applications, RAG systems, and AI agents for product and enterprise use. You will build proactive agents that understand requests, retrieve information, and execute workflows through text or voice.

The role requires strong Python skills, practical experience with LLM APIs and embeddings, and the ability to design end-to-end AI solutions with robust evaluation and security practices.

Qualifications

• Bachelor's degree or above in a related field (Computer Science, AI, ML, NLP, Data Science).
• At least 2 years of relevant experience in LLM applications, information retrieval, RAG, AI agents, NLP, or AI application development.
• Strong Python programming skills and experience developing maintainable applications or backend services.
• Hands-on experience with LLM APIs, open-source LLMs, embeddings, vector databases, semantic search, or retrieval systems.
• Practical understanding of RAG architecture, prompt engineering, retrieval strategies, evaluation, and hallucination mitigation.
• Experience with tool calling, function calling, agent workflows, APIs, databases, or backend integration.
• Ability to independently design and deliver end-to-end LLM, RAG, AI agent, or AI application projects.

Responsibilities

• Design, develop, and improve LLM-based applications, RAG systems, AI assistants, and agentic AI solutions for product and enterprise use cases.
• Develop proactive and interactive AI agents that can understand user requests, retrieve information, use tools, execute workflows, and interact through text or voice.
• Build and optimize core capabilities such as document ingestion, information retrieval, prompting, tool calling, agent orchestration, memory, and human-in-the-loop control.
• Integrate AI agents with devices, internal systems, databases, APIs, document repositories, and third-party services.
• Evaluate and apply appropriate technologies, including LLMs, speech models, vector databases, retrieval methods, knowledge graphs, and agent frameworks.
• Define and implement evaluation methods for retrieval quality, response accuracy, faithfulness, task completion, latency, reliability, and safety.
• Implement secure and reliable AI application patterns, including access control, permission-aware retrieval, guardrails, monitoring, and failure handling.

Skills

Python programming

LLM applications

RAG

NLP

AI agents

Education

Bachelor's degree in Computer Science / AI / ML / NLP / Data Science

Tools

LLM APIs

embeddings

vector databases

Job description

Job Responsibilities

• Design, develop, and improve LLM-based applications, RAG systems, AI assistants, and agentic AI solutions for product and enterprise use cases.
• Develop proactive and interactive AI agents that can understand user requests, retrieve information, use tools, execute workflows, and interact through text or voice.
• Build and optimize core capabilities such as document ingestion, information retrieval, prompting, tool calling, agent orchestration, memory, and human-in-the-loop control.
• Integrate AI agents with devices, internal systems, databases, APIs, document repositories, and third-party services.
• Evaluate and apply appropriate technologies, including LLMs, speech models, vector databases, retrieval methods, knowledge graphs, and agent frameworks.
• Define and implement evaluation methods for retrieval quality, response accuracy, faithfulness, task completion, latency, reliability, and safety.
• Implement secure and reliable AI application patterns, including access control, permission-aware retrieval, guardrails, monitoring, and failure handling.

Requirements

• Bachelor's degree or above in Computer Science, AI, Machine Learning, NLP, Data Science, Engineering, or a related field.
• At least 2 years of relevant experience in LLM applications, information retrieval, RAG, AI agents, NLP, or AI application development.
• Strong Python programming skills and experience developing maintainable applications or backend services.
• Hands-on experience with LLM APIs, open-source LLMs, embeddings, vector databases, semantic search, or retrieval systems.
• Practical understanding of RAG architecture, prompt engineering, retrieval strategies, evaluation, and hallucination mitigation.
• Experience with tool calling, function calling, agent workflows, APIs, databases, or backend integration.
• Ability to independently design and deliver end-to-end LLM, RAG, AI agent, or AI application projects

We regret that only shortlisted candidates will be notified.

John Bryan (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311