AI Engineer (GenAI)
On-site Singapore Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Unison Group. Singapore · full-time.
Pay not stated AI Engineer salary
RoleAI Engineering
SeniorityMid-level
LocationSingapore
WorkplaceOn-site
EmploymentFull-time
PostedJun 23, 2026 · 4mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM-based solutions for enterprise applications and business processes
- Connect AI services to existing software and platforms through APIs
- Create prompt workflows that improve response accuracy and relevance
- Develop AI assistants and automated workflows using structured and unstructured data
- Help define AI needs with business and technical teams, then support deployment and ongoing optimization
What you bring
- You have developed applications using Generative AI or large language models
- You can program in a modern language and have connected APIs with backend services
- You understand LLMs, embeddings, prompt design, and data transformation
- You have worked with cloud application development
Who this fits
This mid-level role is suited to someone who can build and integrate AI applications and collaborate with business and technical teams. The position is on-site in Singapore.
From the employer
Job Overview
We are seeking an AI Engineer to design and implement Generative AI (GenAI) solutions that enhance enterprise applications and business processes. The role focuses on integrating Large Language Models (LLMs), building intelligent automation, and enabling AI-driven capabilities across platforms.
Key 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
Required Skills & Experience
- Experience in Generative AI / LLM-based application development
- Strong programming experience in any modern language (e.g., Python, Java, or similar)
- Experience integrating APIs and backend services
- Understanding of AI concepts such as LLMs, embeddings, and prompt engineering
- Experience working with data processing and transformation
- Familiarity with cloud-based application development
Preferred Skills
- Experience with GenAI frameworks (LangChain, LlamaIndex, or similar)
- Knowledge of Retrieval Augmented Generation (RAG) concepts
- Exposure to vector databases (FAISS, Pinecone, Weaviate, etc.)
- Understanding of AI deployment concepts and containerization (Docker)
- Exposure to enterprise AI or chatbot development
Soft Skills
- Strong analytical and problem-solving skills
- Good communication and collaboration abilities
- Ability to work in Agile environments
- Eagerness to learn and adapt to emerging AI technologies