Principal AI Engineer

• Pioneer Generative AI Solutions: Lead the design and hands-on development of our most advanced AI initiatives, focusing on LLMs, Retrieval-Augmented Generation (RAG), and multi-step agentic systems.
• Build & Fine-Tune Models: Go beyond off-the-shelf APIs. You will fine-tune open-source models (e.g., Llama, Mistral) on our proprietary data to create highly specialized, defensible AI capabilities.
• Engineer Agentic Workflows: Architect and build systems where AI agents can use tools, call functions, and interact with other systems to execute complex, real-world tasks like analyzing inspection reports or drafting compliance documentation.
• Own the Pragmatic AI Stack: Select, implement, and champion a lean, effective AI/ML stack (e.g., LangChain/LlamaIndex, vector databases, modern MLOps tools) that prioritizes speed and developer velocity.
• Collaborate & Scale: Partner with other engineering teams to package your breakthroughs into reusable patterns and services, acting as a force multiplier for AI adoption across the company.
• Establish the AI Vision: As the foundational AI expert, you will be a thought leader, shaping our technical strategy and mentoring the team that will form around your vision.

• Generative AI & LLMs: Deep, hands-on experience building applications with LLMs. This includes prompt engineering, RAG architecture, fine-tuning, and evaluating model performance.
• AI Agent & Workflow Development: Proven experience with frameworks like LangChain, LlamaIndex, or building custom agentic systems. Understanding of concepts like ReAct, function calling, and planning.
• Core ML & Python: Expert-level Python and a strong foundation in classical ML and deep learning (PyTorch preferred).
• AI Infrastructure: Hands-on experience with vector databases (e.g., Pinecone, Weaviate, Chroma), containerization (Docker, Kubernetes), and cloud AI services (GCP Vertex AI, AWS Bedrock/SageMaker).
• Data & APIs: Ability to process unstructured data, build robust data pipelines for model training, and expose models via high-performance APIs (e.g., using FastAPI).

• You are a builder at heart, with extensive experience (e.g., 8+ years) in AI/ML and a recent, intense focus on the LLM space.
• You are obsessed with shipping real products, not just publishing papers.
• You thrive in a fast-paced, high-autonomy environment and are comfortable with ambiguity.
• You are a pragmatist who chooses the right tool for the job, whether it's a simple script or a complex distributed system.

• Top-of-Market Compensation: A highly competitive salary and bonus package for Madrid, designed to attract and retain premier talent for this strategic role.
• Greenfield Ownership & Autonomy: This is not an R&D role with no path to production. You have a mandate to build and ship, with the freedom to choose your stack, backed by C-level sponsorship.
• Foundational Impact: You will be the first Principal AI Engineer in our new Digital Hub, shaping the technology, culture, and future of AI at a global leader.
• A Unique Problem Space: Apply cutting-edge AI to one-of-a-kind datasets from global supply chains, materials science, and industrial testing. This is your chance to solve tangible problems that few others can.
• A Clear Growth Path: This role offers a direct path to technical leadership and the opportunity to build and mentor a team around your architectural vision.

SGS