AI Engineer (Python)

Description

Job Summary: We are seeking an AI Engineer with experience in data and Python to develop GenAI products, implement MLOps pipelines, and manage integrations. Key Highlights: 1. GenAI product development for intelligent automation 2. Implementation of specialized MLOps pipelines 3. Participation in challenging projects To join our team in **Argentina**. We are looking for a candidate with experience in the data domain and strong Python programming skills to join us as an **AI Engineer**. **Job Responsibilities** * Develop GenAI products for intelligent automation (e.g., RAG-based systems and agents) * Implement specialized MLOps pipelines for generative models, including versioning, monitoring, and LLM governance * Build and deploy API-based integrations of solutions * Manage and coordinate all client expectations, progress updates, key achievements, project-related information, and stakeholder involvement ###### **Requirements** * Intermediate/advanced Python proficiency * Experience in the data domain (data science, machine learning engineering, data engineering, or similar) * Proven experience with LLMs and GenAI frameworks (e.g., LangChain, LlamaIndex, Haystack, AutoGen, CrewAI, Strands, etc.) * Knowledge of building RAG systems and agents * Familiarity with cloud platforms (Azure, AWS, Databricks) ###### **Benefits** Some of our benefits include: An excellent work environment and stability at a company that has grown at double-digit rates for the past 5 years. Opportunity for hybrid or fully remote work from anywhere in Argentina. Flexible working hours. Biannual salary reviews. Internet connectivity reimbursement. Access to personalized financial advisory services provided by investment experts. ️ Additional vacation days, with 5 flexible days to be used throughout the year. Gifts and presents on special occasions and milestones. Technical and professional development through participation in challenging projects. Top-tier university courses. ️ Company-covered certifications in leading technologies (Microsoft, AWS, Databricks, dbt, etc.) In-company English classes. Team-building and collaborative workspaces. Premium medical coverage for you and your family. Internal referral program.