
SIXT
SIXT is a leader in high-quality mobility services. With SIXT rent, SIXT share, SIXT ride, and SIXT+, it offers a unique integrated mobility service in the areas of car rental, car sharing, ridesharing, and car subscription. With just one app – the SIXT App – it provides digital access to over 270,000 vehicles and around 5 million drivers in 110 countries worldwide.
About company Lisbon
October 18, 2026
Full-time
Sobre a vaga
Join our Data Science team and help shape SIXT's Customer Service Transformation. Our AI assistant CARA authenticates customers, manages real reservations, and handles policy questions across 10+ markets and 7 languages. She's a production multi-agent system with write access to SIXT's booking platform.
O que vais fazer
- You own agents end to end: prompt, orchestration graph, tools, evals, deployment, dashboard. You write the agent logic and watch your own traces in production
- You translate business problems into agent capabilities, working with product, business and customer service stakeholders to define tool calls and sub-agents, and you build for real transactions with step-up authentication, guardrails, idempotent case handling, and handover
- You make quality measurable, extending our evaluation harness with LLM-as-judge rubrics, tool-trajectory assertions and prompt A/B suites that gate every release
- You engineer for cost and latency as much as accuracy: multi-provider model routing with fallbacks, prompt caching, small models where small models win
- You collaborate across the stack with software engineers, data scientists, MLOps and platform teams, balancing bespoke agent logic against reusable platform capability, and you raise the floor around you by sharing agentic and LLM engineering knowledge with colleagues and helping other teams
- You work with the following stack context: Python with LangGraph and LangChain, deployed as containerised agents on AWS Bedrock AgentCore with MCP sub-agents and OpenAPI tool federation. Multi-provider fallback chains with Anthropic and OpenAI LLMs behind Bedrock Guardrails. Next: CARA for Voice
O que é pedido
- You're an engineer first with strong, hands-on software engineering, real production ownership, excellent Python skills, and solid AWS cloud experience
- You have built tool-calling agents with LangGraph/LangChain or equivalent frameworks and shipped them to actual users rather than keeping them in notebooks
- You're hands-on with frontier and open models like Anthropic Claude, OpenAI, AWS Bedrock, and open-source models such as Llama, with a clear point of view on when to use which, and you treat prompt engineering as an engineering discipline: versioned, reviewed, evaluated, A/B tested
- You know and have applied LLMOps: tracing, evals, guardrails, token and latency budgets, continuous integration and deployment
- You're extremely motivated, passionate about learning, bring a genuine can-do attitude, communicate fluently in English, and appreciate cultural diversity
Valorizado
- MCP, real-time voice AI (WebRTC, SIP, streaming STT/TTS), event-streaming pipelines, TypeScript/React, or contact-centre platforms like Genesys and Salesforce add value
O que é oferecido
- Join a thriving international tech community and work alongside engineers, product experts, and business teams who turn ideas into real impact
- Level up through regular events with internal and external speakers
- Two office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration
- Enjoy 28 vacation days per year, an additional day off on your birthday, one volunteer day annually, and private health insurance that also covers your spouse and children free of charge
- Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier
- Get exclusive rates on all SIXT services, with special discounts extended to your family and friends
Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.