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Senior GenAI Architect & AI Systems Lead
Lead generative-AI architecture in Doha, designing RAG, agentic workflows, and LLM-powered apps while overseeing model selection, safety, and performance.
AI Engineer
Builds generative-AI features using LLMs, RAG pipelines, and vector databases; integrates AI services into applications and refines prompts for production workflows.
Senior AI Engineer
Architect and build generative-AI systems, including RAG and agentic workflows, using LLMs and vector search on Oracle Cloud Infrastructure.
AI Software Engineer - Full Stack Developer Java
Build and deploy AI-assisted Java/Spring Boot microservices with RAG, agents, and responsible-AI guardrails on Azure, improving engineering productivity and delivery workflows.
Senior AI Engineer - GCP Consumer Data
Senior AI Engineer builds and deploys consumer-facing AI systems on GCP: ML pipelines, LLMs, RAG, and recommendation engines using Python, BigQuery, Vertex AI, and vector search.
Senior AI Engineer - GCP | Consumer Data & Digital
Build and deploy AI solutions on GCP for a global consumer-goods and retail company, using Python, BigQuery, Vertex AI, and LLMs to power customer analytics, personalization, and marketing systems.
Forward Deployed AI Engineer Data Advisory · Madrid ·
Build and deploy GenAI solutions (RAG, agents, assistants) for enterprise clients, turning AI challenges into measurable results in weeks while balancing speed, cost, and governance.
Senior AI Engineer / Data (Document AI), Madrid
Build and deploy AI-powered document processing systems using Python, NLP, OCR, and LLMOps in a production Kubernetes environment.
Senior AI Engineer / Data Scientist – GenAI & Advanced Analytics
Build and deploy generative AI agents, RAG systems, and ML models end-to-end using Python, LangChain, and Azure OpenAI to drive healthcare analytics and business impact.
AI Engineer – AI Data Platforms (RE3)
Build and maintain scalable data pipelines and knowledge bases to power AI models and retrieval systems, ensuring high-quality, trustworthy data foundations for generative AI and analytics.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
AI Engineer / Data Scientist – GenAI & LLMs
Build and deploy GenAI assistants for corporate banking using LLMs, RAG pipelines, and prompt engineering to enable natural-language queries over client data and support decision-making.
DATA / AI ENGINEER
Build and deploy generative AI solutions, agents, and data pipelines to automate business processes and extract insights from unstructured data using Python, cloud platforms, and LLMs.
Data Ops Engineer + GenAI
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Data Engineer Junior (Google Cloud & IA)
Build and maintain data pipelines and AI solutions on Google Cloud Platform, integrating LLMs and automating workflows for cybersecurity projects.
Senior Data Engineer (LLM & RAG)
Senior Data Engineer builds scalable pipelines, modernizes LLM architectures, and implements RAG systems to enhance data quality and enable advanced analytics for a telecom group.
AI Data Engineer — Real-Time Pipelines & RAG Architect
Designs real-time data pipelines and RAG systems that turn IT logs into vector embeddings for AI agents, while adding semantic layers and privacy guardrails.
Senior Data Engineer
Build and scale the data backbone for an AI-native video production platform, designing event-driven pipelines for assets, metadata, and real-time creative collaboration.
Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Data Engineer
Build end-to-end data pipelines and analytics solutions for Oysho’s eCommerce platform using Databricks, PySpark, SQL, and Power BI to drive business decisions.