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Senior AI/ML Data Engineer - Remote - EMEA at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior AI/ML Data Engineer. in . EMEA. .. As a Senior AI/ML Data Engineer, you’ll take a leading role in shaping the foundation of the company’s AI and data ecosystem. You’ll be responsible for designing robust data pipelines, building reliable ETL/ELT processes, and implementing systems that power AI-driven product features. This position offers the opportunity to work at the intersection of data engineering and AI, collaborating with cross-functional teams to deliver intelligent, scalable solutions. You’ll work in a fast-growing, fully remote environment that values autonomy, innovation, and collaboration, contributing directly to the evolution of next-generation AI applications.. . Accountabilities:. Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support AI-powered features.. Develop and optimize . embeddings. , . vector databases. , and . RAG pipelines. for efficient information retrieval.. Implement and experiment with . LLM orchestration frameworks. such as LangChain, LangGraph, or LlamaIndex.. Ensure seamless integration between data pipelines and existing product or platform services.. Establish and enforce best practices for . data quality. , . observability. , and . performance. within AI workflows.. Deploy and maintain . Python-based AI services. in production environments.. Collaborate closely with product, platform, and research teams to ensure data-driven innovation aligns with business goals.. . 5+ years of experience in . data engineering. or . backend development. , ideally within SaaS environments.. Strong command of . Python. (FastAPI, Pandas, PyTorch/TensorFlow experience is a plus).. Expertise in . SQL. , . relational databases. , and . data modeling. .. Familiarity with . embeddings. and . vector databases. such as Pinecone, Weaviate, or FAISS.. Experience working with . AI frameworks. for RAG or orchestration (e.g., LangChain, LlamaIndex).. Comfortable collaborating across multiple teams and integrating pipelines into complex systems.. Bonus skills: . cloud infrastructure. (AWS, GCP), . workflow orchestration tools. (Airflow, Dagster).. . Company Location: Spain.