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Build and scale Bitdeer’s AI cloud platform, owning the MaaS backend that serves LLM inference with Go, Kubernetes, and strict SLOs while ensuring zero-regression billing and multi-tenant security.
Build and optimize the backend inference and orchestration layer for an AI assistant that integrates LLMs and multimodal systems into daily workflows.
Build and scale Bitdeer’s multi-tenant MaaS backend in Go, running on Kubernetes with GPU-aware routing, LLM inference gateways, and strict metering/billing for global AI workloads.
Build and maintain Java applications and optimize cloud solutions on Google Cloud Platform for enterprise clients.
Build and maintain scalable AI platforms using Kubernetes, Terraform, and CI/CD pipelines on Azure and AWS, supporting MLOps and Generative AI workloads.
Build and maintain AI-powered web apps using Node.js (Koa/Nest.js) and React/Vue, integrating AI tools for coding and leveraging LLM APIs while ensuring code quality and security.
Builds and maintains full-stack web/cloud apps using Java Spring Boot, Flask, React.js, and AWS services like EC2, RDS, and Cognito.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js/Python/.NET, SQL/NoSQL) while leveraging AI coding assistants daily.
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 full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
Build and maintain web apps and APIs for a digital asset platform, integrating crypto exchanges, banking rails, and AI coding assistants while learning to apply LLM features.
Build and deploy production AI applications using TypeScript, React, NestJS, Postgres, and AWS, integrating LLM APIs and improving observability for GenAI systems.
Build and maintain SGInnovate’s Deep Tech Central platform using full-stack skills (Next.js, NestJS, PHP, Drupal) and integrate AI features with AWS Lambda, vector databases, and LLM APIs.
Build AI-driven automation solutions using Python, Azure, and AI agents to streamline business processes and integrate systems.
Lead a team building AI-powered SaaS features for commercial real-estate tools, designing LLM agents, RAG pipelines, and MCP integrations in a Node.js/Python stack.
Build and maintain full-stack cloud apps using .NET Core, C#, React, and AWS, with exposure to AI-powered features and modern development practices.
Builds AI-powered agents and copilots to embed into Flock Freight’s operational workflows, improving decision-making, automating tasks, and driving measurable business impact by collaborating directly with business teams.
Builds and maintains AI-enabled apps, agents, and workflow automations for healthcare workflows, integrating LLMs, RAG systems, and enterprise tools to improve efficiency and knowledge reuse.
Design and lead enterprise-scale data platforms and AI solutions on Azure, guiding clients from discovery to proposal while owning end-to-end architecture and pre-sales engagements.
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
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