Das ist der Job
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Das brauchst du
Responsibilities Für die folgende Stelle sind möglicherweise eine Reihe von Soft Skills und Erfahrungen erforderlich.
Darum lohnt es sich
Help define engineering best practices and contribute to technical direction across the team. Design, build, and scale AI-driven systems that power our virtual agent capabilities, including conversational reasoning, retrieval systems, tool calling, and automation workflows.
Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems, and third-party platforms) to support real-time decision-making. Build and deploy AI agents that solve real-world business problems. Own architecture decisions for distributed, high-performance AI applications.
Continuously improve model performance, reliability, observability, and evaluation frameworks.
Requirements Proven hands‑on experience developing or integrating products using LLMs 5+ years of experience building production software systems Strong experience designing and developing scalable backend applications Experience with AI agents, agentic workflows, RAG pipelines, tool‑calling systems, or orchestration frameworks Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Google ADK, CrewAI, MCP, or similar technologies Strong Python skills Solid understanding of Linux runtime environments Experience identifying and solving performance bottlenecks Fluent English, written and spoken Curious, proactive, and excited about learning new technologies Bonus xayajpt points if you have: Production experience with agentic AI systems Knowledge of RAG architectures, embeddings, and vector databases Familiarity with AI evaluation and monitoring frameworks Exposure to travel-tech or GDS integrations Kubernetes, AWS, Terraform, and CI/CD tooling Open‑source contributions, side projects, or technical writing Startup mindset and comfort operating with ambiguity
