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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.
Key Skills
Ranked by relevance
ai
machine learning
python
docker
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- Posted
- Sep 17, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Lisbon
- Company
- Caixa Mágica Software
Industries
Software Development
Technology
Information
Media
IT Services
IT Consulting
Categories
Information Technology
Consulting
Business Development
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