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Enterprise Architect - Digital Transformation & AI SystemsDoha&Qatar
Lead enterprise architecture for AI-powered digital transformations, designing RAG systems and migrating SAP data to Databricks in compliance-heavy environments.
AI-Native Software Engineer RAG & GenAI Architect
Designs and builds Retrieval-Augmented Generation (RAG) and agentic AI systems for HR, finance, and operations, integrating GenAI into enterprise workflows.
AI-Native Software Engineer for Abu Dhabi
Design and build enterprise-grade AI systems using RAG, agentic workflows, and cloud platforms for HR and finance domains.
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.
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.
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.
Senior Data & GenAI Engineer/Consultant - Barcelona
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
Data & AI Engineer (m/f/d)
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
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.
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
Build autonomous AI agents and RAG systems to automate marketing workflows, integrating LLMs, vector databases, and cloud platforms like GCP/AWS.
Engineering Lead - Hands-on Backend focus (Python) / Full-Stack experience
Lead backend engineering for an AI-native HR platform, building agentic systems that automate hiring, onboarding, and employee operations using Python, LLMs, and conversational AI.
Full Stack Developer AI
Lead a full-stack team building AI-powered products using Python, Node.js, React, and cloud services (AWS/Azure), with a focus on RAG systems, LLMs, and LangChain.
Backend Developer
Build and deploy AI-driven data analytics and generative AI solutions on Azure and GCP, including MLOps pipelines and agentic AI workflows.
Python Developer
Build and maintain Python-based APIs and backend services for an AI company, using FastAPI/Django/Flask, async programming, and cloud tools like AWS/Azure.
Data Engineering
Design and scale real-time data pipelines for AI systems, focusing on RAG, vector databases, and semantic layers to power agentic reasoning in enterprise environments.
Senior Data & AI Engineer
Build and scale Snowflake-based data and AI systems, designing pipelines, models, and LLM/RAG applications that turn messy business data into trusted, production-ready solutions.
Full Stack AI Developer / Forward Deployed Engineer
Build and deploy AI-powered applications for clients, combining full-stack development with consulting to create scalable, production-ready solutions using LLMs, RAG, and cloud infrastructure.