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About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment…
Build and deploy generative AI solutions in Python, designing backend architectures, RAG systems, and AI agents while implementing DevOps practices on GCP.
Lead the design and production deployment of scalable AI systems, including GenAI, agentic AI, and LLMOps, while guiding engineering teams and setting technical standards.
Build the backend for an Agentic AI platform on Azure using Node.js or .NET 8, designing APIs, data pipelines, vector search, and agent tools with LangChain and FastAPI.
Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Build and scale an AI-driven security platform by designing autonomous agents for threat investigation, response, and automation, while architecting distributed systems for high-scale, multi-tenant security operations.
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Builds enterprise AI apps using LLMs, RAG, and Agentic AI frameworks in Python, deploys them on cloud platforms, and integrates them with enterprise systems.
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Build and optimize generative AI models using PyTorch, Hugging Face, and LangChain, then ship applications that leverage LLMs to support business decisions.
Builds and maintains scalable .NET microservices and cloud-native apps on Azure, using C#, .NET Core, React/Angular, and event-driven messaging.
Builds and owns AI-driven agent systems for workflow automation, integrating LLMs, RAG, and agentic pipelines to optimize enterprise processes—from prototyping to production deployment.
Build and scale enterprise microservices in Java and React, then extend them with agentic AI features that securely connect LLMs to internal systems using RAG, MCP, and prompt engineering.
Senior full-stack engineer building Java microservices and AI agents that connect LLMs to enterprise systems using RAG, prompt engineering, and modern AI tooling.
Build and deploy AI applications and agentic workflows using LangChain/LangGraph, prompt engineering, and Python, while maintaining data pipelines and evaluation frameworks for a fintech firm.
Builds enterprise Java full-stack apps with Spring Boot, Angular/React, AWS, and AI integrations using Python, LangChain, and LangGraph.
Build and deploy production-grade AI agents for a media company, designing agentic workflows, RAG systems, and LLM-powered tools to automate editorial, subscriptions, and advertising tasks.
Lead AI initiatives at a proptech company, designing and deploying GenAI systems with LLMs, RAG, and agent frameworks while mentoring engineers and shaping product strategy.
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