Overview:

We are a single entry to 23 different car brands experiences. Connects OEMs and App Developers to help build the future of connected cars. Alongside OEMs, we create a personalized experience that meets clients’ demands and expectations, ensuring home-to-car continuity and an ongoing link with the outside world through our scalable and adaptable solution. We are looking for an AI Engineer to help us build and deploy intelligent in-car systems powered by modern language models and real-time speech interfaces. You’ll work closely with product, data, and platform teams to develop scalable AI components and optimize inference in automotive-grade environments.

What will you do?

• Integrate LLMs/SLMs into apps and backend services, including prompt design and chaining logic.
• Design and manage API orchestration across AI and non-AI components.
• Build and deploy AI systems using containerized environments (e.g., Docker, Kubernetes).
• Optimize inference performance for low-latency and resource-constrained scenarios.
• Develop and maintain speech pipelines, including STT (Speech-to-Text) and TTS (Text-to-Speech).
• Design and orchestrate AI agents integrating outputs from NLP pipelines (intent classification, entity recognition) and voice interfaces.
• Collaborate on the integration of ASR/TTS services and support conversational flow design.
• Collaborate with platform engineers to ensure the reliable and secure deployment of AI services.
• Contribute to architecture decisions and continuously improve system performance and cost.
• Respect and ensure, in a daily approach, the correct and full implementation of the Forvia Code of Ethics (Respect for fundamental Human
• Rights, Development of economic and social dialogue, Development of skills, Ethics, and rules of business conduct, if necessary, reporting infringements to the Code of Ethics).
• Respect and ensure, in a daily approach, the correct and full implementation of the Forvia Code of Management (Business Planning, Business Execution, Performance Management & People Development, Business Ethics).
• Perform other tasks that are similar or functionally connected and for which he/she has the required qualifications and competencies to help achieve the goals of the team/organization.

What are we looking for?

• 4–7 years of experience as an AI Engineer, Machine Learning Engineer, or similar.
• Experience integrating LLMs or SLMs (e.g., OpenAI, Mistral, Azure OpenAI, Hugging Face).
• Strong experience with containerized deployment and orchestration (Docker, Kubernetes).
• Proficiency in API design and orchestration of multi-component systems.
• Solid knowledge of inference optimization strategies (quantization, batching, caching).
• Experience with speech technologies (e.g., Whisper, Azure Speech, Google TTS/STT).
• Strong coding skills in Python and familiarity with modern AI frameworks.
• Familiarity with AI agents, tools, frameworks, or multi-modal AI.
• Experience working in production-grade environments and CI/CD workflows.
• Experience with vector databases, semantic search, or retrieval-augmented generation (RAG).
• Exposure to automotive, IoT, or other embedded/edge AI scenarios.
• Understanding of data privacy, on-device inference, or model compression techniques.

What can you expect from us?

• A permanent job contract for a long term project;
• Tech equipment + SIM Card + personal smartphone;
• Health and Life Insurance;
• Social events and team buildings;
• The commitment of letting you grow with us, and be rewarded accordingly;
• A dynamic and young team that will be always there to support you;
• Training in the latest technologies;
• Coffee, fruits, snacks and a warm welcoming when you pass by the office.