AI Engineer

You will directly contribute to the evolution of TuplOS by designing, implementing, and optimizing AI and ML components. Your responsibilities will include: Core AI & ML Development

• Develop and maintain the AI components of TuplOS, including the Machine Learning Toolkit.
• Implement and optimize deep learning models for classification, prediction, anomaly detection, and other use cases.
• Build and maintain pipelines for model training, validation, deployment, and monitoring.
• Ensure implementation quality, robustness, and scalability for production environments.

LLM & Agent Development

• Contribute to the design and implementation of our Tupl Agent Builder to offer the best builder for agents in the market.
• Integrate LLM-based workflows into TuplOS.
• Build tools enabling other teams to consume LLM and AI capabilities efficiently.

Engineering & Collaborationo

• Collaborate with cross-functional teams (Backend, DevOps, Data Science, Vision) to deliver complete AI-driven solutions.
• Provide support for AI-related tasks in the Tupl Vision product when needed.
• Participate in code reviews, architecture discussions, and technical decision-making.
• Write high-quality, well-documented, and maintainable code following industry best practices.
• Stay up-to-date with the fast-evolving AI ecosystem, including LLMs, deep learning frameworks, and MLOps tools.

Do you have a Master's degree?, * BS or MS degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.

• Strong experience (3+ years) in AI/ML engineering, machine learning development, or deep learning model building.
• Solid proficiency in Python, including ML/AI frameworks such as PyTorch, TensorFlow.
• Experience with LLMs and AI agent frameworks (e.g., LangChain, LlamaIndex).
• Understanding of ML operations including model versioning, deployment, monitoring, and evaluation.
• Experience with RESTful API development and integration.
• Familiarity with data preprocessing, feature engineering, and evaluation metrics.
• Hands-on experience with Git, Docker, testing frameworks, and collaborative development workflows.
• Experience using cloud or on-prem environments for training and deploying ML models., * Strong analytical and problem-solving skills, with the ability to design end-to-end AI solutions.
• Highly collaborative and effective communicator across technical and non-technical teams.
• Autonomous and proactive-with a strong sense of ownership.
• Ability to work under deadlines and adapt to new challenges.
• Upper-intermediate English level.

Nice-to-have skills

• Experience building AI agents, retrieval-augmented generation (RAG), or domain-specific LLM tools.
• Knowledge of MLOps frameworks (MLflow, Kubeflow, etc.).
• Familiarity with data annotation tools and computer vision concepts.
• Experience with asynchronous programming (asyncio, aiohttp).
• Understanding of Python packaging, dependency management, andDevContainers.
• Experience with CI/CD tools, Kubernetes, or GPU environments.
• Experience with Linux environments, scripting, and performance optimization.
• Flexibility to travel., We are looking for a self-starter who thrives in agile, fast-paced environments and can navigate ambiguity with confidence. Someone with a strong work ethic, curiosity, and a drive to make an impact.

If these values resonate with you and you are ready to roll up your sleeves, welcome to Tupl!

• A competitive salary and benefits.
• Collaborative and open environment where you will be exposed to bleeding edge technologies.
• Work with a local team in Málaga, located in the Green Ray building, with international exposure and support to grow in your career.
• Modern hardware like MacBook Pro and peripherals.
• Exciting and challenging projects that make a real impact across different fields.
• You'll work on innovative projects that combine AI, data, and software engineering to drive real impact.

Tupl is a technology company delivering market-leading AI and Machine Learning solutions that drive innovation and digital transformation across industries. Our solutions help enterprises automate complex operations and unlock the full potential of their data.