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Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
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.
Full-Stack Developer at Aqliya for Artificial Intelligence
Build and improve AI-powered business solutions, cloud platforms, and automation tools using full-stack web development, LLMs, and secure enterprise systems.
Data Engineering Manager
Lead a hybrid role managing data engineering teams and client projects, designing Azure-based cloud data platforms and GenAI-ready data architectures for banking, insurance, and retail clients.
Data Scientist/Analyst - AI Pipelines & Azure Cloud (Hybrid)
Design and optimize RAG pipelines and AI solutions using Azure cloud services, vector databases, and AzureML for cloud deployment.
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.
Senior Data Infrastructure Platform Engineer
Build and run the data backbone that ingests trillions of events daily, maintaining Kafka, ClickHouse, Aurora, and MongoDB on AWS to keep Nexthink’s platform reliable and fast.
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
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 and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
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.
AI Agent Engineer (Python) / Full-Stack experience
Build and maintain production-grade AI agents that automate HR workflows using Python, LLMs, and full-stack tooling to ensure reliability, cost-efficiency, and scalability in enterprise environments.
Full-Stack Software Architect (TypeScript + React)
Architect and build a full-stack AI platform in TypeScript/React that unifies hardware engineering workflows, with hands-on coding and technical leadership in an early-stage startup.
AI Software Engineer (Full Stack) ID51390
Build and scale AI-driven products using LLMs, RAG pipelines, and vector databases with Rust or Golang, from prototype to production in rapid cycles.
Full Stack AI Engineer
Full-Stack AI Engineer builds and maintains Typewiser, Indeep AI’s document-intelligence platform, integrating LLM pipelines, backend services, and frontend features while ensuring reliability and performance.
AI Backend Developer
Build Python backend services and REST APIs that integrate AI/LLMs into sports-tech products, combining rule-based and AI-driven workflows for scalable solutions.
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.
Data & AI Engineer Confirmé·e (5 à 8 ans)
Build robust data pipelines and AI solutions for Swiss clients, from ETL to GenAI prototypes, using Python, SQL, Azure, and Power BI to drive operational decisions.