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Design and build enterprise-grade conversational AI systems using LLMs, RAG, and prompt engineering, ensuring security and compliance.
Build and own an AI-powered interview platform using React/TypeScript and Node.js, integrating LLMs and cloud services while directly engaging with customers to shape the product.
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.
Build data pipelines and architectures (Snowflake, Databricks, dbt) and turn data into decisions with BI dashboards (Tableau, Figma), plus AI workflows and prompt engineering in a 5-month Milan-based academy.
Designs and refines AI prompts for advanced models, collaborating with dev and research teams using Python and deep-learning libraries.
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
Builds and deploys generative-AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch for enterprise clients in Milan.
Build and lead an AI-powered HR platform: full-stack Python/Django backend with React frontend, integrating LLMs for recruiting workflows and mentoring engineers as the team scales.
Lead AI engineering teams to design and deliver scalable generative-AI and data platforms for clients in automotive, healthcare, and other sectors, using Python, cloud stacks, and MLOps tooling.
Build and ship end-to-end features for an AI-powered event platform: database schemas, API routes, and React UIs that stream real-time results to customers.
Builds and maintains distributed systems for GNSS interference monitoring and deploys RAG/LLM pipelines for space and government missions using .NET Core or TypeScript/Node.js and Angular/React.
Build and ship AI-powered marketing and sales platforms using Next.js, Node.js, and AI agents with LangChain/CrewAI, deploying on AWS/GCP via Terraform and GitHub Actions.
Build and maintain Python-based serverless backend services on AWS Lambda while integrating generative AI models for image analysis and prompt engineering.
Company Overview Quanteam is a global consulting firm specializing in banking and finance, with over 1500 experts worldwide supporting major financial institutions since 2007. We combine business and IT expertise to…
Build and deploy generative AI apps using Python and LangChain, focusing on RAG systems, LLM orchestration, and vector databases.
Build AI-powered backend services for mental health therapeutics using LLMs and VLMs, owning the full lifecycle from prompt engineering to cloud deployment.
Build and maintain backend services for enterprise tools like SeaTalk and PFMS, integrating AI/LLM features to improve workflows for thousands of employees.
Build and scale a cloud-native microservices platform for AI-powered document data infrastructure, integrating LLMs and processing pipelines in Python on GCP.
Design and build enterprise-grade AI systems using RAG, agentic workflows, and cloud platforms for HR and finance domains.
Build and deploy AI-assisted Java/Spring Boot microservices with RAG, agents, and responsible-AI guardrails on Azure, improving engineering productivity and delivery workflows.
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