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Principal Agentic Engineer (Front-end)
Lead front-end architecture and development for AI-driven digital experiences using React, Next.js and TypeScript, while guiding teams and integrating AI-powered workflows and APIs.
Senior/Lead GCP Data Engineer
Design and build cloud-native data pipelines on GCP, enabling AI/ML initiatives and analytics for a global banking team using PySpark, Airflow, BigQuery, and Vertex AI.
Senior/Lead GCP Data Engineer
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products for a global bank, collaborating with cross-functional teams to deliver trusted data assets at scale.
Senior Cloud Engineer - Real-Time AI & Data Pipelines
Design and optimize cloud-native systems on GCP, building real-time data pipelines and secure backends with Node.js, Next.js, Firebase, Vertex AI, and Terraform.
AI Engineer
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Senior Machine Learning Engineer
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing AI lifecycle in production.
AGBG Full Stack Engineer - Google Deployed Engineer (Italy)
Lead Google Cloud engagements, design cloud-native solutions, and oversee delivery for global clients using GCP services like AI, Data & Analytics, and Workspace.
Data Engineer (GCP) – Full Remote
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.
Cloud & Data Engineer
Builds scalable cloud data pipelines and backend services in Python to automate marketing analytics and integrate ad-tech platforms for consultants and clients.
Senior Data Engineer
Designs and builds cloud-based data platforms, ETL/ELT pipelines, and BI solutions for enterprise clients, focusing on scalable architectures and modern data warehousing.
Cloud & Data Engineer
Build and maintain scalable cloud data pipelines and backend services to automate marketing analytics and support digital consultants with Python, GCP, and big-data tools.
Presales Engineer/Solution Architect (AI-Google Cloud)
Presales Engineer/Solution Architect designs Google Cloud-based AI solutions for enterprise clients, translating needs into Vertex AI and BigQuery proposals and delivering technical presentations.
Solutions Architect (AI)
Designs and deploys enterprise-scale AI/ML and generative AI solutions, integrating LLMs, RAG pipelines, and MLOps into existing systems while ensuring security, governance, and scalability.
Senior AI Platform & Data Engineer
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and GCP services.
Senior Backend Engineer
Build and scale a cloud-native microservices platform for AI-powered document data infrastructure, integrating LLMs and processing pipelines in Python on GCP.
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.
Senior AI Engineer, GCP - Data & AI for Global Brands
Builds AI-driven data pipelines and predictive models for consumer CRM, loyalty, and e-commerce using Python, SQL, BigQuery, and Vertex AI.
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.
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.