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FoodLabs & Atlantic Labs Logo FoodLabs & Atlantic Labs · IT - Software Development

Senior / Lead AI Engineer

Singapore, Singapore · Job Posted February 17, 2026
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Job Description

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
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