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Omio is building the future of travel. We’re moving from manual, rule-based systems to AI-driven systems to enhance revenue, efficiency, and competitiveness. The new hub in Singapore is at the forefront of this transformation, driving AI-led innovation and enabling us to scale intelligent solutions for customers across the world. As we make this transition, we’re looking for a Founding AI Engineer based in Singapore who can both build cutting-edge solutions and champion this shift within the company by integrating AI workflows across critical business areas.
Job Responsibility:
Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact
Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains
Build scalable AI systems that support Omio’s global expansion goals
Act as an evangelist for AI adoption by demonstrating clear value to stakeholders
Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption
Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders
Requirements:
Minimum 10+ years of experience in software engineering, developing complex models and algorithms
Proven track record in designing, implementing, and deploying production-grade AI solutions at scale
Strong communication and presentation skills, with the ability to influence and collaborate effectively with non-technical stakeholders
Self-motivated and capable of working independently, driving initiatives with minimal supervision
Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable
Experience with diverse model evaluation techniques (quantitative and qualitative) and an iterative approach to improving AI system performance and user outcomes
Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA
Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy
Strong programming skills in Java, Python, and SQL
Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices
Ability to construct Retrieval-Augmented Generation (RAG) systems for advanced AI workflows
Proficiency in vector databases such as FAISS, Weaviate, Pinecone, Milvus
Solid grasp of prompt engineering techniques to optimize LLM output
Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure