Senior ML/AI Engineer

About the role

Wizeline is seeking a Senior ML/AI Engineer to join our global team in Barcelona, marking a significant step in our mission to deliver intelligent digital products. In this capacity, you will become an integral part of our AI-native solutions team, focused on developing advanced systems that drive innovation and client transformation. You will own complex AI workflows from initial concept through to production deployment, ensuring reliability and performance in live environments. If you are driven by innovation and thrive in a fast-paced, collaborative setting, this opportunity aligns with your goals. This role offers the chance to make a significant impact on our technology and the digital journeys of our clients.

Key facts

What you'll do

• Architect and implement mechanisms for ingesting high volumes of structured and unstructured data into robust, scalable pipelines that ensure data integrity and accessibility.
• Design and optimize vector storage architectures to support advanced natural language processing tasks within complex agentic workflows, focusing on performance and scalability.
• Establish comprehensive evaluation frameworks that manage the entire prompt lifecycle, automate rigorous testing procedures, and provide deep system observability for continuous improvement.
• Guide deployment strategies for large language models, tool-calling agents, and long-term memory solutions to ensure seamless integration and operational efficiency in production.
• Support MLOps activities by diagnosing model behavior, conducting in-depth analysis, and implementing updates that enhance system reliability, stability, and performance.
• Orchestrate integrations with external and internal AI APIs to expand existing system capabilities and unlock new functionalities for our solutions.
• Monitor the Generative AI, NLP, and information retrieval landscapes to identify emerging best practices and align them with our cloud infrastructure objectives.
• Extend the LangChain ecosystem, including LangGraph and LangSmith, to manage evaluation and orchestration effectively across multiple teams and projects.
• Collaborate closely with data scientists and engineers to refine system behavior, iterate on designs, and enhance agentic performance in real-world, live environments.
• Ensure that all AI systems maintain high standards of reliability, observability, and efficiency, directly contributing to client success and product quality.
• Translate complex business requirements into technical specifications and implementation plans that drive the development of innovative AI products.
• Act as a technical leader and mentor, sharing knowledge and guiding junior team members to elevate the overall capability of the AI-native solutions team.

Requirements

• Hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field, or possess equivalent professional experience that demonstrates the required competencies.
• Bring four or more years of industrial experience in machine learning engineering or data engineering, with a proven track record of delivering complex projects.
• Demonstrate strong programming abilities in Python or another high-level language common in machine learning contexts, with a focus on clean, maintainable code.
• Have hands-on experience deploying large language models in production environments and building automated evaluation pipelines that ensure quality and performance.
• Show expertise in architecting multi-agent tools and systems that can operate reliably and scale effectively in demanding scenarios.
• Possess a deep understanding of MLOps principles, including model monitoring, versioning, and lifecycle management to maintain robust production systems.
• Exhibit strong problem-solving skills and the ability to diagnose and resolve complex technical issues in AI and machine learning systems.
• Show commitment to following best practices in security, reliability, and performance optimization within cloud-based AI deployments.

Nice to have

• Proficiency with AI tooling that streamlines drafting, analysis, research, or process automation in daily work is highly valued and can provide a significant advantage.
• Familiarity with cloud services such as AWS and GCP, containerization through Docker, and version control using Git is desirable for seamless integration and deployment.
• Understanding of reliable API consumption patterns and secure integration strategies to ensure system robustness and data protection.

Practical notes

• This role is based in Barcelona, Spain, and requires availability to work from this location.
• Engagement details and specific compensation information are to be determined based on the source specifications and employment type.