Senior AI Engineer

Role Overview:

• Lead AI project delivery end to end with clear governance and strong stakeholder communication.
• Design and build robust RAG systems, agentic frameworks, and LLM-powered solutions for production.
• Apply advanced prompt engineering techniques and evaluation frameworks.

Qualifications:

• 6+ years of experience building and deploying AI, ML, or data-driven solutions in production.
• Strong expertise in Python, Git, and hands-on experience with LLM solutions and RAG systems.
• Solid cloud experience with AWS, Azure, or GCP; Azure preferred.

Perks:

• Flexible working options and all necessary equipment including Macbook and accessories.
• Learning opportunities such as AWS certifications, study plans, and English lessons.
• Mentoring and development opportunities to shape your career path.

Additional Details:

• Advanced English level required for written and verbal communication.
• Remote, full-time role based in LATAM.
• Experience in Databricks, fine-tuning, or agentic GenAI systems is a plus.