Key Performance Indicator for this role is to design, build and maintain scalable data pipelines that support ingestion, transformation and delivery into centralized feature stores, model-training workflows and real-time inference services. Our ideal candidate will be responsible for architecting and implementing lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. They will partner with data stakeholders to gather requirements for language-model initiatives and translate them into scalable solutions. Required Skills and Qualifications: - 8+ years of experience as a Data Engineer with 2+ years focused on MLOps. - Excellent English communication skills. - Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation and large-scale data processing. - Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. - Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization and scalable inference. - Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. - Hands-on experience with big data technologies including Apache Spark, Hadoop and Kafka for distributed processing and real-time data ingestion. Preferred Qualifications: - Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG) and orchestration of intelligent workflows. - Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Benefits: - Competitive salary and benefits package. - Opportunity to work with a talented team of professionals. - Professional development opportunities. Others: - Attach your CV in English. The interview process will be conducted in English. Only applicants from LATAM will be considered.