Senior Data Engineer (AI/LLM)

Location: Remote, applicants accepted only from LATAM. In-person verification is required.

Company

Global communications and payment services provider offering prepaid communication, money transfer, international calling, and mobile top-up products.

What you will do

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, feature stores, model training, and real-time inference.
• Build workflows for extracting, storing, and retrieving semantic representations of unstructured data for advanced search and retrieval.
• Develop analytics and dashboarding solutions with natural-language query capabilities and AI-backed insights.
• Manage prompt engineering, orchestration flows, model fine-tuning routines, and conversational interface infrastructure.
• Oversee vector data stores and indexing strategies for retrieval-augmented generation workflows.
• Gather requirements from data stakeholders and document data processes, workflows, and model deployment routines.

Requirements

• 8+ years of experience as a Data Engineer.
• Advanced Python skills for data transformation, manipulation, and large-scale processing.
• Hands-on experience with Apache Spark, Hadoop, Kafka, SQL, PLSQL, relational databases, data warehouses, and cloud database services such as Snowflake or Redshift.
• Experience designing pipelines that extract data from RDBMS, JSON, APIs, and flat files.
• Knowledge of software engineering principles, Unix/Linux/Windows systems, Agile methodologies, and version control workflows.
• Effective written and spoken English communication skills are required.

Nice to have

• Experience with vector databases such as DataStax AstraDB and LLM frameworks including LangChain and LlamaIndex.
• Experience with prompt engineering, retrieval-augmented generation, intelligent workflow orchestration, and open-source LLM frameworks.
• Knowledge of Hugging Face Transformers, LLaMA-4, fine-tuning, inference optimization, MLOps, and CI/CD pipelines.

Culture & Benefits

• Remote work with a long-term growth perspective.
• B2B employment with gross compensation.
• Company-provided hardware and support for professional training, seminars, and conferences.
• English classes and referral rewards.
• Opportunity to work in an international organization with entrepreneurial initiatives.