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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.
Build and deploy generative-AI modules using Python, Java/Spring Boot, LangChain, and AWS Bedrock for AI agents and data pipelines.
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 evolve backend services in C#/.NET, collaborate on React frontends, and help scale the platform on GCP for a startup marketplace.
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.
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