AI Engineer - Hybrid Lisbon (Flexible 5-20% On-Site)

ABOUT THE OPPORTUNITY

Join a leading European logistics technology company powering the delivery of 840+ million parcels annually across 41 countries and over 1,600 locations. This role offers the unique opportunity to work on AI-driven solutions that directly impact millions of daily operations, from intelligent parcel routing to customer-facing mobile applications. As an AI Engineer, you'll bridge the gap between cutting-edge research and practical business applications, developing proof-of-concepts that evolve into production-grade AI products. Working in a flexible hybrid model (starting 20% on-site, reducing to as low as 5% over time), you'll collaborate with cross-functional teams to solve complex logistics challenges using large language models, machine learning, and deep learning techniques. This is a chance to shape the future of logistics technology while working with modern AI frameworks and cloud platforms.

PROJECT & CONTEXT

You'll be responsible for the complete AI solution lifecycle—from identifying business opportunities to deploying scalable minimum viable products (MVPs). The role focuses heavily on developing proof-of-concepts using LLMs (like GPT) and advanced machine learning techniques to demonstrate feasibility and business impact. Working closely with stakeholders, software engineers, and data scientists, you'll evaluate PoC performance considering accuracy, scalability, and computational efficiency, then translate successful concepts into production systems. The position involves optimizing AI models for real-world logistics scenarios, conducting thorough testing and validation, and integrating AI capabilities into existing enterprise systems. You'll also provide technical guidance to junior AI engineers, fostering knowledge sharing and driving innovation through industry best practices and emerging technologies.

WHAT WE'RE LOOKING FOR (Required)

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field
• AI Experience: Proven track record as AI Engineer, Machine Learning Engineer, or similar role in production environments
• LLM Expertise: Solid understanding of Large Language Models (GPT-series and similar) and their practical applications
• ML/DL Knowledge: Strong foundation in machine learning and deep learning techniques, algorithms, and frameworks
• Framework Proficiency: Hands-on experience with TensorFlow, PyTorch, Keras, and LangChain
• Programming Skills: Proficiency in Python and Java for AI/ML development
• Data Tools: Experience with NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization
• Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud and their AI/ML services
• Problem-Solving: Strong analytical skills with ability to translate business requirements into technical AI solutions
• Communication: Excellent teamwork and communication abilities for cross-functional collaboration
• Attention to Detail: Meticulous approach to model development, testing, and validation
• Language: B2 English (Upper Intermediate) minimum
• Mindset: Self-driven and proactive attitude with passion for learning emerging AI technologies

NICE TO HAVE (Preferred)

• Experience with big data processing frameworks such as Apache Hadoop or Apache Spark
• Hands-on experience with distributed computing environments
• Knowledge of MLOps practices and CI/CD pipelines for ML models
• Previous experience in logistics, supply chain, or operations technology domains
• Experience mentoring or leading junior AI engineers
• Contributions to open-source AI/ML projects or published research

Location: Venda do Pinheiro, Lisbon (Hybrid - 20% on-site initially, flexible down to 5%)