Agentic AI Engineer — Flexible Hours, Production-Ready

SIXT; Portugal; Híbrido; EUR 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Global Tech Hub in Lisbon

Learning & Knowledge Exchange

Flexible Work Setup

Time Off & Wellbeing

Resumo da oferta

SIXT is seeking a Data Science professional to lead CARA-related agent development in Lisbon. You will own the end-to-end lifecycle of production agents, from prompts and tool integrations to deployment and monitoring, ensuring robust, scalable solutions across 10+ markets and 7 languages.

You will translate business problems into agent capabilities, work with cross-functional teams, and optimize prompts and routing for performance, cost and latency while integrating with Salesforce and Genesys

Qualificações

• Production ownership of data science agents and tools.
• Translate business problems into agent capabilities with real transactions.
• Experience with model prompt engineering and evaluation.

Responsabilidades

• Own agents end to end: prompt, orchestration graph, tools, evals, deployment, dashboard.
• Define tool calls and sub-agents with stakeholders for real transactions.
• Extend evaluation harness with rubrics, guardrails and A/B prompt testing.
• Optimize for cost and latency with multi-provider model routing and prompt caching.
• Collaborate across stack with engineers, data scientists, MLOps and platform teams.

Conhecimentos

Python

AWS

LangGraph/LangChain

MCP

LLMOps

OpenAI/Anthropic

Ferramentas

AWS Bedrock

LangGraph

LangChain

Descrição da oferta de emprego

SIXT is seeking a Data Science professional to lead CARA-related agent development in Lisbon. You will own the end-to-end lifecycle of production agents, from prompts and tool integrations to deployment and monitoring, ensuring robust, scalable solutions across 10+ markets and 7 languages.

You will translate business problems into agent capabilities, work with cross-functional teams, and optimize prompts and routing for performance, cost and latency while integrating with Salesforce and Genesys