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Full Stack Engineer building Python-based microservices with React frontends, deploying via Docker and CI/CD, and occasionally on-site at client locations in Italy.
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines using Python and SQL for a fintech company.
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
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.
Build and deploy Generative AI systems using LLMs, RAG pipelines, and cloud infrastructure; work with Python, LangChain/LangGraph, vector DBs, and SQL.
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.
Build and deploy production-grade AI systems for enterprise clients, focusing on RAG, multi-agent architectures, and scalable GenAI pipelines in Python and cloud environments.
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.
Develop and implement GenAI solutions using the Datapizza AI framework, focusing on RAG, AI agents, and speech-to-speech architectures for enterprise clients.
Builds and maintains backend services and APIs that integrate AI/LLM models and third-party systems, using Python/Java and cloud-native tools.
Build and deploy generative AI apps using Python and LangChain, focusing on RAG systems, LLM orchestration, and vector databases.
Build and deploy AI-powered features like NLP models and LLM integrations for SaaS products used by Indonesian businesses.
Senior QA Engineer designs and automates tests for AI/LLM systems on Azure, building Python frameworks and CI/CD pipelines to validate reliability, correctness, and safety of GenAI deployments.
Build and maintain Java-based backend services using Spring Boot and microservices, designing REST APIs and integrating AI models.
Builds and maintains Java-based backend services using Spring Boot, REST APIs, and microservices for enterprise clients.
Design and build enterprise-grade AI systems using RAG, agentic workflows, and cloud platforms for HR and finance domains.
Build and improve AI-powered business solutions, cloud platforms, and automation tools using full-stack web development, LLMs, and secure enterprise systems.
Lead a team building generative AI and data-science solutions using Python, LLMOps, and cloud services; design multi-agent patterns, reasoning loops, and scalable microservices.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Lead AI Engineer designing and implementing generative AI and data-science solutions, including multi-agent systems, reasoning loops, and MLOps tooling in Python/Java with cloud providers.
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