AI Engineer

Who we are:
Headquartered in Singapore, SATS Ltd. is one of the world’s largest providers of air cargo handling services and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines, institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 215 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg
The Role:
The AI Engineer is responsible for building and scaling enterprise-grade Generative AI platforms that enable rapid development and deployment of LLM-powered applications across the organization. This role focuses on developing reusable GenAI infrastructure including RAG pipelines, vector databases, model serving layers, and agent orchestration frameworks.
Location: India/Singapore
Some international travel may be required.
Key Responsibilities
GenAI Platform Development
· Build and maintain RAG pipelines and LLM orchestration frameworks
· Develop reusable GenAI services and APIs
· Enable multi-agent and agentic workflows
Infrastructure & Systems
· Implement scalable model serving infrastructure (vLLM, Triton, APIs)
· Manage vector databases and embedding pipelines
· Optimize performance and cost of LLM systems
Platform Enablement
· Provide reusable building blocks for AI teams
· Enable rapid experimentation and deployment
· Collaborate with AI/ML teams to accelerate GenAI adoption
Innovation
· Evaluate emerging GenAI tools and frameworks
· Drive adoption of best practices in LLMOps
Educational Qualifications:
· Bachelor/ MSc / PhD in Computer Science, Mathematics or related field
· Ongoing commitment to training and professional development in AIML, Aviation Domain, Cargo
handling, Ground handling milestones, Ground Freight and Food solutions.
Relevant Skills and Experience:
· 3-5 years in AI engineering / backend systems
· Strong expertise in: LLMs, RAG, embeddings, LangChain / LlamaIndex, CrewAI, Vector DBs
(FAISS, Pinecone)
· Experience with APIs, microservices, and cloud platforms
Personal Characteristics & Behaviours:
· Strong systems thinking
· Curiosity for emerging AI technologies
· Ability to work in fast-evolving environments

Work arrangement
No