Senior Software Engineer, Applied AI

Stellenbeschreibung:

Responsibilities

  • 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.
  • Help define engineering best practices and contribute to technical direction across the team.

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 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

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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