GenAI Engineer: Enterprise LLM Solutions & Automation

Hong Kong Unison Limited; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Hong Kong Unison Limited is seeking an AI Engineer to design and implement GenAI solutions that enhance enterprise applications and business processes. You will integrate LLMs, build intelligent automation, and enable AI-driven capabilities across platforms.

Responsibilities include designing GenAI-based systems, integrating services via APIs, and developing prompt engineering workflows to improve accuracy and relevance.

Qualifications

• Experience in Generative AI / LLM-based application development.
• Strong programming experience in Python/Java or similar.
• Experience integrating APIs and backend services.
• Understanding of LLMs, embeddings, and prompt engineering.
• Experience working with data processing and transformation.
• Familiarity with cloud-based application development.

Responsibilities

• Design and develop GenAI-based solutions using LLMs for enterprise use cases.
• Integrate AI services with existing applications and platforms via APIs.
• Develop prompt engineering workflows to improve model accuracy and relevance.
• Build AI-powered automation, assistants, and intelligent workflows.
• Work with structured and unstructured data for AI-driven solutions.
• Collaborate with business and technical teams to define AI requirements.
• Support deployment, monitoring, and optimization of AI solutions.
• Ensure scalability, performance, and reliability of AI components.

Skills

GenAI development

LLM integration

Prompt engineering

API integration

Data processing

Cloud app development

AI automation

Tools

LangChain

LlamaIndex

FAISS

Pinecone

Weaviate

Docker

Job description

Hong Kong Unison Limited is seeking an AI Engineer to design and implement GenAI solutions that enhance enterprise applications and business processes. You will integrate LLMs, build intelligent automation, and enable AI-driven capabilities across platforms.

Responsibilities include designing GenAI-based systems, integrating services via APIs, and developing prompt engineering workflows to improve accuracy and relevance.