----- Ai Engineer (Multimodal Ai Systems) - Pdmfc - Lisboa,... Lisboa

The ideal candidate will have
- on experience deploying and optimizing large language models (LLMs) and multimodal AI systems using frameworks like llama. cpp and v
LLM. You will be responsible for building and maintaining robust AI services that power our
-
- text,
-
- speech, summarization, RAG (Retrieval-Augmented Generation), and multimodal generation capabilities.

Key Responsibilities

• Design, implement, and optimize AI model serving infrastructure using llama. cpp, v
  LLM, or similar frameworks to ensure efficient inference and deployment;
• Develop and maintain
  -
  - text and
  -
  - speech pipelines that deliver
  - quality audio processing capabilities;
• Create robust RAG systems that effectively retrieve relevant information and generate accurate, contextually appropriate responses;
• Build and optimize multimodal AI systems capable of processing and generating text, images, and audio content;
• Implement efficient document summarization capabilities for various content types and lengths;
• Continuously evaluate and improve model performance, latency, and resource utilization;
• Collaborate with
  - functional teams to integrate AI capabilities into our product ecosystem;
• Research and implement
  -
  -
  - art techniques to enhance our AI systems' capabilities;
• Develop monitoring and evaluation frameworks to track AI system performance and identify areas for improvement.

Your Profile

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field;
• Strong Python programming skills with demonstrated experience in AI/ML development;
• Hands-on experience deploying and optimizing LLMs using llama. cpp, v
  LLM, or similar frameworks;
• Experience with speech processing technologies (ASR/TTS) and relevant libraries;
• Knowledge of RAG architectures and vector databases (e. g. , Pinecone, Weaviate, Milvus);
• Familiarity with multimodal AI systems that process text, images, and audio;
• Experience with deep learning frameworks such as Py
  Torch or Tensor
  Flow;
• Understanding of model quantization, optimization, and serving techniques;
• Proficiency with containerization technologies (Docker) and cloud environments.

Extra Points

• Master's or Ph
  D in AI, ML, NLP, or a related field;
• Experience with ONNX Runtime, Tensor
  RT, or other model optimization frameworks;
• Knowledge of distributed systems for
  - scale AI model serving;
• Experience with streaming data processing for
  - time AI applications;
• Familiarity with GPU/TPU acceleration and optimization techniques;
• Contributions to
  - source AI projects or research publications;
• Experience with
  - tuning and adapting foundation models for specific tasks;
• Knowledge of MLOps practices and tools for AI system deployment and monitoring;
• Experience with prompt engineering and LLM evaluation methodologies.

Our Benefits

• Hybrid work model;
• Health insurance;
• Access to an online learning platform and continuous training;
• Career opportunities and a 360° development feedback system;
• 2 extra vacation days and a special vacation policy based on employee seniority;
• Internal Padel and Football tournaments and other informal team events;
• Access to Team24 – a psychological support platform;
• You'll have a Buddy to support you during the onboarding process;
• You'll have a Yoda to guide you in your professional development.

PDMFC is an equal opportunities employer and welcomes applications from all qualified candidates.