We are looking for a Senior AI Engineer to join our team.
Our client is building the future of travel by connecting global transportation into one seamless experience. Their mission is to make travel planning simple, flexible, and personalized through intelligent technology and thoughtful design. With a diverse and growing team, they focus on transforming legacy systems into AI-driven solutions that can scale globally.
As a Founding AI Engineer, you’ll play a pivotal role in leading our AI transformation. You’ll build and deploy high-impact solutions powered by Large Language Models (LLMs), drive adoption across the business, and collaborate cross-functionally to integrate AI into real-world workflows. This is a unique opportunity to shape AI strategy at a global scale from the ground up.
Requirements:
- 6+ years of experience in AI/ML engineering with a track record of delivering production-grade solutions;
- Expertise in using LLMs (e.g., OpenAI, Claude, Gemini, LLaMA) to build real-world applications;
- Experience with orchestration tools like LangChain, LangGraph, LMDeploy, or vLLM;
- Proficiency in Python, Java, and SQL;
- Familiarity with RAG systems, prompt engineering, MLOps, and LLMOps best practices;
- Experience working with vector databases such as FAISS, Pinecone, Weaviate, or Milvus;
- Strong communication and influencing skills, especially with cross-functional and leadership teams;
- Independent, self-driven mindset with the ability to operate in ambiguous environments.
Nice to have:
- Experience deploying real-time, high-performance AI systems;
- Background in travel tech, logistics, or large-scale consumer platforms;
- Contributions to open-source AI/ML tools or communities.
Responsibilities:
- Design, build, and deploy AI-powered systems using LLMs to improve productivity and business performance;
- Own the full development lifecycle—from idea to deployment and monitoring;
- Develop scalable AI architectures aligned with global expansion goals;
- Champion AI adoption by demonstrating clear business value to internal stakeholders;
- Collaborate with product, engineering, and business teams to integrate AI into key workflows;
- Communicate complex models and results to both technical and non-technical audiences, including executives.
Our benefits:
- Professional and career growth promotion;
- Competitive salary;
- Paid vacations and sick leaves;
- Internal Medical Program;
- Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);
- Flexible working hours;
- Regular corporate social activities;
- Regular technical training at our office;
- English courses;
- Gym, etc.
