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Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Lead AI platform engineering to build and scale LLM-driven SRE agents and chatbots that improve driver experiences and marketplace efficiency using Python, Go, LangChain, and cloud infra.
Build AI-driven healthcare web apps using Vue.js, TypeScript/Python, and agentic orchestration systems to streamline hospital workflows and improve clinical data efficiency.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
Lead the AI data infrastructure for Grab’s Integrity team, building vector databases, multi-agent orchestration, and proactive guardrails to power autonomous risk-detection systems in real time.
Design and deploy ML, GenAI, and predictive models using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experiences.
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Lead deployment and optimization of GenAI and Agentic AI pipelines, ensuring scalable, compliant operations through automation, monitoring, and governance across platforms.
Builds and deploys ML models, GenAI apps, and predictive systems using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experience.
Build and maintain a global analytics platform integrating data from multiple sources, with AI agents for natural-language querying and automated insights generation using Java and distributed systems.
Build and scale backend APIs and event-driven services for a global e-commerce platform using Node.js/Golang, React, and Google Cloud.
Backend Engineer building scalable AI orchestration frameworks, RAG systems, and cloud-native AI services using Python, PostgreSQL, and vector databases to power enterprise-grade generative AI applications.
Lead a team building AI-powered data pipelines, vector databases, and multi-agent orchestration for fraud detection and risk mitigation at a large-scale platform.
Build and maintain scalable backend systems for Shopee’s marketplace, focusing on order operations like returns, refunds, and settlements using distributed architectures and modern data tools.
Builds and maintains scalable backend systems for Shopee’s marketplace, focusing on order operations like returns, refunds, and settlements using distributed architectures and modern tooling.
Build and lead backend services for a global ecommerce platform, designing REST/GraphQL APIs, event-driven systems, and scalable data pipelines on Google Cloud.
Наша команда занимается развитием AI-зрелости компаний экосистемы B2B. Сейчас мы ищем неравнодушного специалиста с обязательным опытом в области GenAI на позицию ML-инженер. Предстоит заниматься разработкой и…
Build and deploy AI-powered web apps and APIs for a digital asset platform, integrating LLMs, RAG, and agentic frameworks with Java Spring Boot, Kubernetes, and AWS.
Build and maintain Flutter mobile/web apps for blood donation infrastructure; integrate with REST backends using clean architecture and Bloc.
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