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.

What are we looking for?

• Between 4–7 years of experience as an AI Engineer, Machine Learning Engineer, or similar.
• Experience integrating LLMs or SLMs (OpenAI, Mistral, Azure OpenAI, Hugging Face, among others).
• Strong experience with containerized deployment and orchestration using Docker and 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.