Senior Data Scientist (Generative AI, LLM)

TL;DR

Senior Data Scientist (Generative AI, LLM): Design and deliver AI-powered internal applications, copilots, and workflow accelerators with an accent on LLM engineering, RAG, and evaluation frameworks. Focus on building scalable, production-ready solutions that embed intelligence into business processes while ensuring reliability, quality, and responsible AI practices.

Location: Costa Rica (Remote)

Company

hirify.global empowers organizations to transform complex data into clear, actionable insights using open-source innovation.

What you will do

• Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators.
• Build reusable AI components such as retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses.
• Design retrieval strategies that connect LLMs to trusted internal knowledge sources for grounded, reliable outputs.
• Develop and maintain statistical and machine learning models for automation, optimization, forecasting, and classification.
• Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems.
• Partner cross-functionally to identify high-value AI enablement opportunities and document methodologies for transparency and reproducibility.

Requirements

• Hands-on experience building applications or workflows powered by large language models (LLMs).
• Evidence of a builder mindset through shipped AI tools, internal platforms, or automation solutions.
• Demonstrated experience applying machine learning techniques in production or enterprise environments.
• 5+ years of relevant experience in Data Science, Machine Learning, or AI-focused roles.
• Strong statistical and mathematical foundation (probability, statistical inference, experimentation, quantitative reasoning).
• Strong SQL and data fluency, plus proficiency in Python (or R) for data preparation, feature engineering, and modeling.

Nice to have

• Experience with vector databases, embedding models, or semantic retrieval systems.
• Familiarity with API-driven architectures and integrating AI capabilities into enterprise systems.
• Exposure to responsible AI practices, governance frameworks, or model lifecycle management.

Culture & Benefits

• Flexible WFH policy and generous PTO.
• Mental & physical wellness programs.
• Phone and internet reimbursement.
• Access to continued career development and comprehensive benefits/competitive packages.
• Employee Resource Groups and paid volunteer time.