
AI Engineer
- Lisboa
- Permanente
- Horário completo
- 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.
- 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.
- At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
- We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
- We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
- We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
- We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
- Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.