Senior AI Engineer

We are seeking a highly skilled and motivated AI Engineer to join our dynamic team.

As an AI Engineer, you will be responsible for developing and implementing cutting-edge artificial intelligence solutions to solve complex business problems. You will collaborate with cross-functional teams to design, build, and deploy AI models and algorithms, and contribute to the overall development of AI-driven applications.

The ideal candidate has a strong background in LLMs (like GPT), machine learning, deep learning, and data analysis, along with excellent programming skills and a passion for innovation.

Responsibilities and Duties

• Collaborate with cross-functional teams to identify business needs and potential areas where AI solutions can add value;

• Design and develop proof-of-concepts (PoCs) using machine learning and deep learning techniques to demonstrate the feasibility and potential impact of AI-driven solutions;

• Evaluate and validate the performance of PoCs, considering factors such as accuracy, scalability, and computational efficiency;

• Work closely with stakeholders to understand their feedback and requirements, iterating on PoCs to enhance their value and address specific business challenges;

• Analyze the outcomes of PoCs and identify the most promising concepts with significant business value;

• Translate successful PoCs into minimum viable products (MVPs), working collaboratively with software engineers and data scientists to productize and scale the solutions;

• Optimize and fine-tune AI models and algorithms to meet performance requirements and align with business objectives;

• Conduct thorough testing and validation of MVPs, ensuring their reliability, stability, and usability in real-world scenarios;

• Collaborate with product teams to integrate AI capabilities into existing systems or develop new AI-driven applications;

• Stay informed about industry trends, advancements, and best practices in AI engineering and leverage this knowledge to drive innovation in PoC and MVP development;

• Document the development process, methodologies, and results, providing clear and concise reports and presentations to stakeholders;

• Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team.

What We Need

• Bachelor's or master's degree in computer science, data science, artificial intelligence, or a related field;

• Solid understanding of LLMs, machine learning and deep learning techniques, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain);

• Proficiency in programming languages such as Python and Java, and experience with relevant libraries and tools for data manipulation, analysis, and visualization (e.g., NumPy, pandas, Matplotlib);

• Experience with big data processing and distributed computing frameworks (e.g., Hadoop, Spark) is a plus;

• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services;

• Strong problem-solving skills and ability to translate business requirements into technical solutions;

• Excellent communication and teamwork abilities, with the capacity to collaborate effectively with cross-functional teams;

• Strong attention to detail;

• A self-driven and proactive attitude, with a passion for learning and staying updated on emerging technologies and industry trends.

Other Details

Work location - Hybrid - at least twice per week in the office - location: Venda do Pinheiro (Lisbon) or Maia (Porto).