AI Engineer - Remote

Overview

Patrianna is a rapidly expanding product development company headquartered in Gibraltar, with a dynamic team spanning the globe. We are on the lookout for exceptional talent—driven, ambitious individuals who are ready to elevate business functions with expertise, adaptability, and a passion for continuous growth. We’re looking for an AI Engineer to lead the development of an intelligent, self-evolving data ecosystem powered by large language models (LLMs). You’ll be at the forefront of innovation, blending data engineering, real-time intelligence, and AI productization to deliver cutting-edge solutions across the business.

In Short

• Build, fine-tune, and integrate LLM pipelines using platforms such as Vertex AI, OpenAI, Google Studio.
• Develop prompt-driven automation systems for workflows including metadata extraction, tagging, reporting, and anomaly detection.
• Design and deploy Retrieval-Augmented Generation (RAG) and embedding-based search solutions.
• Build intelligent agents using CrewAI or LangChain for automated report generation and interactive user agents.
• Implement feedback and memory mechanisms for context-aware agents.
• Develop and scale API integrations connecting AI workflows with data warehouses and business tools.
• Create intelligent endpoints for model inference and decision logging.
• Architect and maintain data models optimized for AI usage.
• Document all AI workflows for reproducibility and team collaboration.
• Advocate for internal AI adoption through tooling and workshops.

Requirements

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong experience with GCP and its tools.
• Demonstrated success integrating LLM APIs into production systems.
• Expertise with LangChain, CrewAI, or similar frameworks.
• Experience in building Python-based AI workflows and APIs.
• Solid SQL knowledge for structured data operations.

Benefits

• Opportunity to work on innovative AI projects.
• Flexible working hours and remote work options.
• Collaborative and dynamic work environment.
• Professional development and training opportunities.
• Competitive salary and performance-based incentives.