Job Summary: We are seeking an AI Engineer to integrate, adapt, and operate artificial intelligence solutions, focusing on pre-trained models and RAG techniques to optimize business processes. Key Highlights: 1. Integration and adaptation of pre-trained AI models. 2. Implementation of RAG techniques and management of AI data pipelines. 3. Collaboration with business and IT teams to apply AI. What does the company do? Litoral Gas is a leading public utility company in the province of Santa Fe, dedicated to the energy sector and recognized for its solid track record in delivering safe, reliable, and efficient solutions. With a strong focus on service quality and continuous process improvement, it supports households, businesses, and industries in their development, guaranteeing access to essential energy resources that contribute to regional well-being, productivity, and sustainable growth. Its distribution area covers the provinces of Santa Fe and the northeastern part of Buenos Aires Province, with headquarters located in the city of Rosario. What do you need to join the team? Personal requirements: Analytical thinking and a focus on solving practical problems. Proactivity and strong interest in emerging technologies—especially AI—with appreciation for self-directed learning. Results orientation and commitment to continuous improvement. Ability to work in collaborative environments and under agile methodologies. Technical requirements: Experience integrating pre-trained AI/ML models via APIs and cloud services. Practical knowledge of RAG techniques and management of AI data pipelines. Proficiency in Python and libraries for integration with cloud services. Experience and knowledge of Copilot. Familiarity with data governance, security, and regulatory compliance practices | Desirable. Experience with agile project management tools such as Jira | Desirable. Knowledge of version control (Git) and technical documentation. | Desirable. What will you do? As an AI Engineer, you will: Integrate and adapt pre-trained AI models into internal workflows and systems. Implement RAG techniques to enrich responses, personalize outputs using internal data, and improve the quality of generative model-based solutions. Configure, monitor, and optimize cloud-based AI services, ensuring security, operational efficiency, and compliance with internal policies and applicable regulations. Collaborate with business and IT teams to identify AI application opportunities, translate requirements into technical solutions, and support the adoption of new capabilities. Participate in the design, development, and validation of ETL/ELT processes, ensuring correct ingestion, transformation, and availability of data for AI models and processes. Verify data integrity, completeness, uniqueness, and accuracy, ensuring quality and consistency across the entire lifecycle of AI solutions. Document integrations, processes, and learnings, generating reusable standards and contributing to organizational knowledge growth. Identify opportunities to improve query performance, optimize data loads, and enhance data pipeline efficiency. What is the challenge of this position? You will be responsible for integrating, adapting, and operating AI solutions using pre-trained cloud-based models (Azure, AWS, GCP), prioritizing the application of techniques such as RAG and leveraging APIs and managed services. The role focuses on maximizing AI value within business processes while ensuring solution robustness, scalability, and regulatory compliance. When and where will you work? This position operates primarily remotely, with an estimated onsite presence of 8 days per month at the offices located in Puerto Madero, Autonomous City of Buenos Aires. You must be available to travel to Rosario 1–2 times per month, mainly during the initial phase. Travel and transportation expenses will be covered by the company. Working hours will be Monday through Thursday from 9:00 to 18:15 and Fridays from 9:00 to 15:00. What do they offer? Direct employment relationship with the company. OSDE health insurance for immediate family members. Performance-based Target Bonus. Reduced working hours on Fridays. Daycare expense coverage for children under 6 years old. Remunerative snack allowance. Extended paternity leave (5 business days). Birthday off. December 24 and December 31 off. Benefits portal offering discounts across various categories for employees. What stages does the selection process consist of? The selection process will proceed as follows: First, you will have an initial interview with one of our Recruiters, Melina Rubio or Lucila Lemucchi, during which they will discuss your professional experience, career path, and interests. Next, there will be a joint interview with the technical team leads and Human Resources, covering both technical aspects and alignment with the project and organizational culture. Finally, the process includes psychotechnical evaluation and occupational medical examination.