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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.
Build and deploy GenAI solutions (RAG, agents, assistants) for enterprise clients, turning AI challenges into measurable results in weeks while balancing speed, cost, and governance.
Build and deploy generative AI agents, RAG systems, and ML models end-to-end using Python, LangChain, and Azure OpenAI to drive healthcare analytics and business impact.
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
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