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Ai engineer (m/f)

Adecco Recruitment
Anunciada dia 13 agosto
Descrição

Descrição da Função

Drive the future of connected mobility were 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.
ContractDirecthirewiththeclient
Location
HybridinLisbon(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 Were Looking For
47 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
Youll 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!


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