Senior AI Engineer

Company Description

Omio’s vision is to enable people to travel seamlessly anywhere, anyway. We are bringing all global transport into a single distribution system and creating end-to-end magical consumer journeys.

With Omio you can compare and book trains, buses, ferries and flights anywhere in Europe, the US, and Canada with one simple search, on mobile, app or desktop. By offering transparent pricing and easy booking, Omio makes travel planning simple, flexible and personal.

Omio is the largest source of inventory, with 1000+ suppliers operating in 55 countries. Our brands also include Rome2Rio for global discovery, while Omio powers ticketing and journeys, which attract 900m+ users every year. Our offices are based in Berlin, Singapore Prague, Melbourne, Brazil, Bangalore, and London.

We are a growing team of more than 400 passionate employees from more than 50 countries who share the same vision: to create a single tool to help send travelers almost anywhere in the world.

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 Description

• 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.

Qualifications

Qualifications and Experience

• 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.

Additional Information

Learn more about Omio Engineering and our Team

• https://medium.com/omio-engineering

Here at Omio, we know that no two people are alike, and that’s a great thing. Diversity in culture, thought and background has been key to growing our product beyond borders to reach millions of users from all over the world. That’s why we believe in giving equal opportunity to all, regardless of race, gender, religion, sexual orientation, age or disability.

Hiring process and background checks

At Omio, we work in partnership with SpringVerify, once a job offer has been accepted, Giant will be engaged to carry out background screening. SpringVerify will reach out to you via email and occasionally via telephone/text message so that they can gather all relevant information required. Consent will be requested prior to any information being passed to our services company.

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