Drive the future of connected mobility – we're looking for an AI Engineer to join a global innovation project
Our client, a global leader in sustainable mobility technology, is looking for an
AI Engineer
to join a cutting-edge project in the connected cars ecosystem.
Contract: Direct hire with the client
Location:
Hybrid in Lisbon (1x/week)
About the Role
You will be part of an innovative team developing intelligent in-car systems powered by modern language models and real-time speech interfaces. Your work will bridge AI research and production-grade deployment, ensuring scalability, low latency, and integration into automotive-grade environments.
Key Responsibilities
* Integrate LLMs/SLMs into applications and backend services, including prompt design and orchestration
* Develop and manage APIs connecting AI and non-AI components
* Build and deploy AI systems using containerized environments (Docker, Kubernetes)
* Optimize inference performance for low-latency and resource-constrained scenarios
* Implement and maintain speech pipelines (STT and TTS) and AI agent orchestration
* Collaborate with platform engineers for secure and reliable AI service deployment
* Contribute to system architecture decisions and performance improvements
What We're Looking For
* 3–7 years as an AI Engineer, Machine Learning Engineer, or similar
* Experience with LLMs/SLMs (OpenAI, Mistral, Azure OpenAI, Hugging Face)
* Strong containerization and orchestration skills (Docker, Kubernetes)
* Proficiency in Python and API architecture
* Knowledge of inference optimization (quantization, batching, caching)
* Experience with speech technologies (Whisper, Azure Speech, Google TTS/STT)
* Familiarity with AI agents, NLP pipelines, and multi-modal AI
* Experience in production-grade environments and CI/CD workflows
* Fluent in English
Nice to Have
* Experience with vector databases, semantic search, or RAG
* Background in automotive, IoT, or embedded AI
* Understanding of model compression, on-device inference, or data privacy in AI
Why Join
You'll work in a collaborative, multicultural, and innovation-driven environment that values continuous learning and career growth, contributing to next-generation mobility solutions with global impact.
Apply now and be part of the future of connected mobility