Senior Software Engineer developing AI-driven systems for corporate travel management and building the AgentSee AI travel assistant. Collaborating with teams to enhance LLM-driven functionalities.
Responsibilities
Design, build, and scale AI-driven systems that power our virtual agent capabilities (conversational reasoning, retrieval, and automation flows);
Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems) to support real-time decision-making;
Collaborate with other teams to ship LLM-based features that deliver measurable impact;
Own architecture decisions for distributed, high-performance AI applications;
Continuously improve model performance, reliability, and monitoring frameworks;
Help define our engineering best practices, guide technical decisions, and mentor other developers within the team.
Requirements
5+ years of experience in software engineering, with a track record of building production systems
Strong background in designing scalable, distributed applications
Proven hands-on experience developing or integrating products using LLMs (e.g., RAG pipelines, custom agents, fine-tuning, or orchestration frameworks like LangChain/LlamaIndex)
Hands-on experience with Python
Solid understanding of Linux runtime environments
Skilled at identifying and solving performance bottlenecks
Excellent collaboration skills with the ability to give and receive constructive feedback
Fluent in English, with strong written and verbal communication
Proactive, curious, and eager to keep learning
Bonus points if you have:
Experience with the travel industry (especially GDS APIs like Sabre, Amadeus, or Travelport)
Hands-on with Kubernetes, AWS, Terraform, and CI/CD practices
Contributions to open-source projects or notable side projects
Familiarity with agile methodologies and collaborative product development
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