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Build and optimize scalable ETL pipelines, manage relational databases, and develop AI applications using Langchain and Python in a cloud-native environment.
Build and maintain scalable backend services using Java/Spring Boot, REST APIs, and cloud-native systems, with occasional exposure to AI-driven features.
Build and deploy AI/GenAI applications using Python, FastAPI/Flask, and cloud platforms, integrating LLMs, vector databases, and agentic workflows.
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…
AT A GLANCE Data Scientist role with a strong applied AI and ML focus Python-first environment with modern LLM and ML tooling Hybrid working model with flexible arrangements Salary up to £80,000 depending on experience…
Builds and deploys a production-grade RAG system and AI chatbot using Python, FastAPI, LangGraph, and vector databases, integrating LLMs and enterprise data.
Lead the design and deployment of enterprise-grade AI systems, including LLMs and RAG pipelines, using Python and cloud-agnostic MLOps across AWS, Azure, and GCP.
AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior…
Build full-stack AI applications that expose generative AI, RAG, and agentic workflows via Blazor/React front ends and .NET/Python back ends, integrating with Azure OpenAI and enterprise data services.
Builds Python/FastAPI backend services and AI agent systems (LangChain/LangGraph) for a SaaS platform that consolidates business data into actionable features like BI, integrations, and MCP-based agent tools.
DevOps Engineer deploys, scales, and optimizes cloud infrastructure for a digital marketing agency, using GCP/AWS, Docker, and Python/Node.js to support AI-powered marketing tools.
Build and scale an internal AI development platform using Kubernetes, REST APIs, and GenAI tools to deploy and manage AI solutions for the firm.
Lead a team building AI-driven tools and full-stack applications to optimize video game asset pipelines and production workflows using Python, FastAPI, Vue/React, and cloud services.
Responsibilities: Handle production incidents and post-mortem analysis for system stability improvement Designing, deploying, monitoring, and troubleshooting Kafka and Redis clusters in PROD environment, ensuring…
Build and optimize scalable data pipelines and cloud-native services using Python/Java, Spark, and Kubernetes to power GenAI applications and LLM workflows.
Builds and deploys AI agents for enterprise workflows, focusing on prompt/context engineering, RAG pipelines, and production integration with APIs/ERP systems using Python, OpenAI/Azure APIs, and tools like LangChain.
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
Build and deploy AI-powered full-stack apps using Python/Django, Angular, and Azure AI. Focus on LLMs, prompt engineering, and agent workflows with Docker and LangChain.
Build and run the backend for a new generative-AI hub serving a financial-services firm; stack includes Azure, .NET/Node.js, vector search, agent orchestration, and Azure OpenAI.
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