AI Engineer: Build Production‑Ready AI at Scale

Mercedes-Benz.io

Lisboa

Híbrido

EUR 60 000 - 100 000

Tempo integral

Há 3 dias
Torna-te num dos primeiros candidatos
Gerador de candidaturas

Uma candidatura completa num minuto — currículo personalizado e carta de apresentação, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Flexible hybrid work model
Open source software
Brand Connection perks
Health insurance and life insurance
Proactive self-development through int
international trainings and confs

Resumo da oferta

Mercedes-Benz.io seeks an AI Engineer to shape next-generation AI-powered products. You will design, build and operate production-ready AI systems that integrate with product teams, software engineers, and domain experts.

Proficiency with Python is central, with Kotlin and TypeScript for embedding AI into domain systems. You will collaborate on retrieval pipelines, embeddings, and RAG approaches, while promoting Responsible AI practices and ensuring observability and reliability across systems.

Qualificações

  • Proven experience designing, building, and operating production-ready systems.
  • Hands-on experience building AI-powered applications with LLMs.
  • Strong understanding of AI system design, agent architectures, orchestration patterns, state management, and tool integration.
  • The ability to evaluate technical and business trade-offs, selecting the most appropriate solution.
  • Experience designing and implementing retrieval and knowledge systems, including embeddings, retrieval pipelines, grounding strategies, context engineering, and retrieval-augmented generation (RAG) approaches.

Responsabilidades

  • Analyze and decompose complex problems, determining where AI-driven reasoning adds value and where deterministic software is better.
  • Evaluate and select models, frameworks, and technologies, balancing quality, latency, scalability, cost, and production readiness.
  • Design, build, and operate AI systems and agentic solutions, including single-agent and multi-agent architectures.
  • Develop AI-powered applications using LLMs, prompts, structured outputs, tool‑calling capabilities, and orchestration logic.
  • Build retrieval and knowledge systems and grounding mechanisms to improve response quality and reliability.

Conhecimentos

Software engineering
AI/LLMs
Agent architectures
Retrieval systems
Observability

Ferramentas

Python
Kotlin
TypeScript

Descrição da oferta de emprego

Mercedes-Benz.io seeks an AI Engineer to shape next-generation AI-powered products. You will design, build and operate production-ready AI systems that integrate with product teams, software engineers, and domain experts.

Proficiency with Python is central, with Kotlin and TypeScript for embedding AI into domain systems. You will collaborate on retrieval pipelines, embeddings, and RAG approaches, while promoting Responsible AI practices and ensuring observability and reliability across systems.

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