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Build and maintain the core infrastructure that powers Claude, focusing on distributed systems, fleet orchestration, and AI hardware integration for efficient LLM inference at scale.
Build and optimize large-scale data pipelines and integrate LLMs into production systems for Docusign’s Intelligent Agreement Management platform.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and maintain backend systems that manage Grafana Cloud stacks, including reconciliation, provisioning, and billing, using Go and Kubernetes in a remote-first SaaS environment.
Build and deploy LLM-powered automation agents for pharma workflows using Python/JavaScript, PostgreSQL, vector DBs, and n8n on an NVIDIA DGX Spark AI sandbox.
Designs and refines LLM prompts, builds AI-powered features end-to-end, and integrates them into product workflows using React/TypeScript, Node/Python, and AI-native tools like Cursor and Claude Code.
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
Senior AI Engineer builds and scales an enterprise AI orchestration platform, integrating LLMs and RAG workflows with cloud-native services to enable secure, scalable AI solutions across a construction-tech organization.
Build and scale enterprise-grade web apps and APIs using Node.js, TypeScript, React/Angular, PostgreSQL, and Redis, with AI tools like Copilot to accelerate development.
Build shared AI tooling (sandbox runtimes, eval harnesses, model gateways) and embed AI-native workflows into engineering teams to help them ship faster.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Builds and deploys an AI-powered autonomous penetration testing platform using LLMs and agents, integrating Python/Go backend services with TypeScript/React dashboards.
Build and scale AI-powered data platforms, integrating LLMs like OpenAI/Anthropic and designing real-time streaming systems to support enterprise GenAI applications.
Build and scale backend systems for a 3D virtual makerspace used by K–12 students, integrating LLMs to enhance learning and ensure real-time collaboration on low-end devices.
Build and maintain backend systems for an AI-powered fintech assistant, focusing on inference pipelines, model orchestration, and scalable APIs using Python and cloud-native tools.
Build and run the backend systems that power an AI assistant, focusing on inference pipelines, orchestration, and low-latency APIs for reliable, real-world task completion.
Build and scale Bitdeer’s AI cloud platform, owning the MaaS backend that routes LLM requests, enforces SLOs, and meters token usage for global customers while ensuring zero-regression migrations.
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.
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