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Build and maintain AI-driven backend systems for a fast-growing ecommerce company, implementing ML models and optimizing data pipelines to enhance user experience and business efficiency.
Build and maintain a large Swiss real-estate marketplace using Next.js, .NET Core, React/TypeScript, Azure, SQL Server, Cosmos DB, and Elasticsearch.
Build and maintain Java microservices using Spring Boot, REST/GraphQL APIs, and Azure cloud services for a Zurich-based client.
Build and maintain a production platform that collects, processes, and enriches social media content using Python, ETL pipelines, and LLM APIs for classification and summarization.
Act as a technical advisor during pre-sales, designing AI/LLM and modern data platform solutions for enterprises, and guiding clients from discovery to implementation.
Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Design and deploy reinforcement-learning environments and reward models to evaluate AI agents at scale, using Python and frameworks like Langchain.
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
Build and deploy ML models and AI systems for enterprise clients, focusing on LLMs, NLP, and computer vision to solve industrial, automotive, and software-engineering challenges.
Design and build reinforcement-learning environments and reward models to train and evaluate AI agents at scale using Python and frameworks like Langchain.
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Senior Data Engineer builds and optimizes Spark applications on Azure/Databricks using Python, enforcing coding standards and collaborating with cross-functional teams to deliver scalable data pipelines.
Build and maintain AI-powered full-stack applications and agentic systems for a pharmaceutical client using Python, AI frameworks (LangChain, LangGraph), and AWS.
Build and ship full-stack GenAI systems and developer tooling that power AI agents, including a flagship medical assistant for physicians, using cloud-native stacks and modern LLM patterns.
Build and deploy GenAI agents and a central AI platform for healthcare, using full-stack development, cloud services, and AI agent patterns to improve clinical decision-making at scale.
Build and deploy a GenAI platform and AI agents for healthcare, focusing on scalable full-stack development, cloud-native systems, and secure AI workflows to accelerate medical decision-making.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
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