Data & AI Engineer
hace 4 horas
About Our Company We are a leading technological solutions integrator with a global presence through an extensive international network. We are on the lookout for talented professionals to help us build and scale impactful, high-quality projects. We are currently looking for a Data & AI Engineer to join our team in the development of the IA360 platform. This role is key to designing and deploying architectures based on Large Language Models (LLMs), intelligent agent orchestration, and data pipelines that enable advanced, scalable, and secure solutions in industrial and enterprise environments. Position Overview As a Data & AI Engineer, you will be responsible for building and maintaining data pipelines, retrieval systems, and intelligent agents, as well as fine-tuning LLMs for specific use cases. You will collaborate with backend and frontend teams to expose agent interactions through the platform and explore new generative AI applications across industrial and business domains. Key Responsibilities Design and deploy data pipelines to prepare internal and external information for intelligent agents. Implement Retrieval-Augmented Generation (RAG) systems combining embeddings, vector databases, and search engines (Faiss, Weaviate, Pinecone, etc.). Integrate and orchestrate intelligent agents (LangChain, LangGraph, CrewAI, or similar). Fine-tune and adapt LLMs for specific use cases (prompt engineering, lightweight fine-tuning, adapters/LoRA). Design multimodal architectures incorporating documents, text, audio, or CAD drawings. Establish quality metrics (accuracy, coverage, latency) and validation processes for generative models. Collaborate with backend and frontend teams to expose agent interactions through the platform. Explore and document new use cases for generative AI in industrial and enterprise settings. Technical Skills Required Proven experience with Generative AI (OpenAI, Anthropic, Llama, Mistral, or others). Knowledge of agent orchestration frameworks (LangGraph, CrewAI). Experience with retrieval and embeddings (vector DBs: Faiss, Pinecone, Weaviate, Chroma). Proficiency in Python for ML/AI (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow). Experience designing and deploying data pipelines in production environments. Nice-to-haves Knowledge of MLOps applied to LLMs (evaluation, retraining, prompt monitoring). Experience with multimodal projects (text + images/drawings + audio). Awareness of security and compliance practices in Generative AI. This position is for you if you... Are passionate about Data Engineering and Generative AI. Enjoy working with cutting-edge AI frameworks and architectures. Communicate clearly and collaborate effectively across teams. Are proactive, detail-oriented, and eager to explore new technologies. Feel comfortable working in dynamic, fast-paced environments. Are fluent in Spanish and English. What we offer A young, talented team and a growth-oriented environment. Flexible hours and hybrid work. Full-time contract. English classes for continuous development.
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