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AI & Data Engineer – Generative AI & RAG
Builds and deploys Generative AI and RAG pipelines on Azure OpenAI to power insurance workflows, using Python and Microsoft Fabric.
Cloud Data Engineer – AI & GenAI focused
Designs and builds cloud data pipelines, warehouses, and lakes, and implements GenAI/Defender AI solutions while ensuring data governance and security.
Generative AI & Data Engineer – Hybrid Role
Designs and builds generative AI solutions and RAG pipelines, integrating AI models into operational processes for an insurance company.
Remote Full-Stack AI Agent Developer
Builds enterprise-grade full-stack apps with AI agents and LLM orchestration using Java/Kotlin, Vue.js, microservices, and SQL in an Agile remote setting.
Internship – Full Stack Web Application Developer – ST eDesignSuite
Internship building web tools for thermal-electrical device simulation using React/Angular frontends and RESTful backends, collaborating with engineers to deliver data-driven UIs.
Internship – Full Stack Web Application Developer – ST eDesignSuite
Build and maintain web-based simulation tools using React/Angular for UI and REST APIs for backend workflows, collaborating with engineers to translate thermal-electrical simulation needs into user-friendly interfaces.
Remote Full-Stack AI Agent Developer
Build enterprise-grade full-stack apps integrating AI agents and LLM orchestration with Java/Kotlin, Vue.js, microservices, and SQL in an Agile remote team.
Data Engineer - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines and AI-ready data foundations for cutting-edge AI systems, including LLMs and agentic architectures, while collaborating with cross-functional teams.
AI & Data Engineer (Junior/Mid)
Build and deploy Generative AI systems using LLMs, RAG pipelines, and cloud infrastructure; work with Python, LangChain/LangGraph, vector DBs, and SQL.
Data Engineer & AI Platforms Associate
Designs and builds scalable data pipelines, cloud-native data platforms, and production-grade AI solutions in Python/SQL on AWS, partnering with data scientists to industrialize models.
Senior Data Engineer – Data & AI for Enterprise
Senior Data Engineer builds enterprise data pipelines, warehouses, and GenAI solutions using SQL, Python, and Azure for analytics-driven transformation.
Data Engineer – AI & Data Products
Build cloud-native data pipelines and AI/ML feature stores for a large insurer, using Python, Spark, and cloud platforms to power analytics and GenAI use cases.
Customer Data Engineer - Milano
Designs and builds cloud-based data pipelines and ETL/ELT processes to ingest, transform, and integrate customer data for analytics and AI use cases using Databricks, GCP, Azure, SQL, and Python.
Remote Full-Stack Developer: .NET 8, React & AI
Builds and modernizes internal platforms using .NET 8 and React, integrating AI/Generative AI features and migrating legacy systems.
Senior Data Engineer
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Senior IOT Data Engineer
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to power smart factories and connected products.
Data Engineer – Cloud & Analytics
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines in Python and SQL for a fintech company.
Customer Data Engineer - Milano
Designs and builds cloud-based ETL/ELT pipelines and data models to ingest, transform, and analyze customer data for marketing and CRM use cases using Python, SQL, Spark, and Databricks.
Customer Data Engineer - Milano
Designs and builds cloud-based data pipelines and ETL processes to ingest, transform, and model customer data for analytics and AI use cases in sectors like finance, media, and energy.