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OMIO TRAVEL SINGAPORE PTE. LTD. is seeking an experienced AI lead to develop and deploy advanced AI solutions leveraging large language models.
You will own end-to-end lifecycle from ideation to production, building scalable systems to support Omio’s global expansion and adopting AI across diverse business domains. The role requires strong proficiency in LLMs, LangChain, vLLM, and cloud platforms, with proven ability to communicate results to both technical and executive audiences.
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.
Minimum 6+ years of experience in developing complex models and algorithms.
Proven track record in designing and deploying production-grade AI solutions.
Strong communication and presentation skills, with the ability to influence non-technical stakeholders.
Self-motivated, independent contributor capable of driving initiatives with minimal guidance.
Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable.
Technical Skills and Knowledge
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.