GenAI Engineer | RAG, LangGraph & Enterprise AI (Python)

Hong Kong Unison Limited; Kuala Lumpur; On-site; MYR 150,000 - 230,000; Full time

Job summary

Hong Kong Unison Limited seeks an AI Engineer to design and deploy enterprise GenAI solutions in Kuala Lumpur. You will build RAG pipelines, craft prompts, and orchestrate LangGraph-based multi-agent workflows to solve real business problems.

You will integrate Elastic Knowledge/Elasticsearch, LangChain ecosystem, and various LLMs (OpenAI, Azure OpenAI, Claude, Gemini) while ensuring governance and security best practices. Proficiency in Python and REST APIs is essential.

Qualifications

• Experience designing enterprise GenAI applications using Python.
• Hands-on knowledge of RAG and prompt optimization.
• Familiarity with vector databases and enterprise search.
• Experience integrating multiple LLMs (OpenAI, Azure OpenAI, Claude, Gemini).

Responsibilities

• Design and develop enterprise Generative AI applications using Python.
• Build and optimize RAG pipelines for knowledge retrieval.
• Develop AI workflows and multi-agent systems with LangGraph.
• Create prompts and templates for diverse LLM use cases.
• Integrate enterprise knowledge repositories like Elastic Knowledge/Elasticsearch.
• Develop AI assistants, chatbots, and agentic solutions.
• Connect LLMs to enterprise APIs, databases, and docs.
• Improve retrieval quality, context management, and response accuracy.
• Implement vector search and semantic search capabilities.
• Evaluate, fine-tune, and monitor LLM performance.
• Collaborate with stakeholders to map use cases to technical solutions.
• Follow governance, security, and responsible AI practices.

Skills

Python

LangGraph

RAG

Prompt engineering

Generative AI

LangChain

OpenAI integration

Vector databases

REST APIs

Git & CI/CD

Tools

Elasticsearch

Elastic Knowledge

Pinecone

Chroma

FAISS

Weaviate

Milvus

Docker

Job description

Hong Kong Unison Limited seeks an AI Engineer to design and deploy enterprise GenAI solutions in Kuala Lumpur. You will build RAG pipelines, craft prompts, and orchestrate LangGraph-based multi-agent workflows to solve real business problems.

You will integrate Elastic Knowledge/Elasticsearch, LangChain ecosystem, and various LLMs (OpenAI, Azure OpenAI, Claude, Gemini) while ensuring governance and security best practices. Proficiency in Python and REST APIs is essential.