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.
Key Responsibilities
LLM-Oriented AI & Automation Systems
- Build, fine-tune, and integrate LLM pipelines using platforms such as Vertex AI, OpenAI, Google Studio for data transformation, summarization, and retrieval-based tasks.
- Develop prompt-driven automation systems for workflows including metadata extraction, tagging, reporting, and anomaly detection.
- Design and deploy RAG (Retrieval-Augmented Generation) and embedding-based search solutions integrated with enterprise knowledge bases.
Agent Orchestration & Autonomy
Build intelligent agents using CrewAI, LangChain or similar frameworks to support use cases like automated report generation, root cause analysis, and interactive user agents.Implement feedback and memory mechanisms to support context-aware, evolving agents.AI-Native API & Platform Integrations
Develop, manage, and scale API integrations that connect AI workflows with data warehouses , business tools , and external data sources .Create intelligent endpoints for model inference, decision logging, and webhook / postback triggers to support real-time interactions and data enrichment.Data Modeling for AI Workflows
Architect and maintain data models optimized for AI usage—structured for quick access by LLMs, retrieval engines, and embedded reasoning tools.Integrate semantic layers and metadata mapping to facilitate natural language querying and low-code data exploration.Documentation, Scaling & Knowledge Ops
Document all AI workflows—from prompt structures and agent behaviors to API interfaces and data flows—for reproducibility and team-wide collaboration.Build internal knowledge bases, vector stores, and wiki systems fueled by LLM summarization and indexing .Advocate for internal AI adoption through tooling, workshops, and scalable use case frameworks. Preferred QualificationsMust-Have
Bachelor’s degree in Computer Science, Data Science, AI / ML, or related field.Strong experience with GCP ( Vertex AI, Google Studio and other GCP tools).Demonstrated success integrating LLM APIs (OpenAI, Vertex AI, Perplexity, Gemini) into production systems.Expertise with LangChain, CrewAI , OpenAI platform or similar frameworks.Expertise in building and deploying JS / n8n / Python-based AI workflows , agents, and APIs.Solid SQL knowledge for structured data operations and AI-data interplay.Nice to Have
Google Cloud certifications in Data or Machine Learning.Experience with vector databases , embedding generation , and RAG infrastructure.Exposure to autonomous agent memory systems , reward tuning, or action planning loops.Familiarity with Data Engineering process and tools.LI-ONE
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