Build and scale high-availability AI cloud services including GPU VMs, bare-metal, container services, networking, storage, and multi-region resource management.
Develop managed Kubernetes platforms with GPU-native orchestration, intelligent scheduling, and lifecycle management for large-scale AI training and inference.
Implement AI training, inference, and agent platforms including distributed training, model serving, serverless APIs, and enterprise Agent orchestration.
Build and maintain core infrastructure for Quora's ML platform, ensuring high availability, scalability, and performance.
Build and improve distributed systems serving ML models in production, from Large Recommendation Models to Large Language Models.
Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models.
Quora's mission is to grow the world's collective intelligence through two platforms: Quora for global knowledge sharing and Poe for AI agent collaboration. We are a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency and experimentation.
Participate in end-to-end product development across frontend and backend under senior engineer guidance.
Integrate AI coding tools like Cursor, Copilot, and Claude Code into daily development workflows.
Translate product requirements into working implementations with minimal frontend-backend handoff friction.
Binance is a leading global blockchain ecosystem and cryptocurrency exchange, offering trading, finance, education, research, payments, and institutional services. The company is trusted by over 300 million users in 100+ countries and operates with a flat, user-centric, results-driven culture.
Design, build, and operate production AI agents for developer productivity, from code review to incident response.
Build self-service platform infrastructure enabling teams to prototype, deploy, and scale their own AI developer tools.
Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable, loved developer tools.
Docker is a developer tooling company trusted by over 20 million monthly users for building, sharing, and running applications. We are a globally distributed, remote-first team building AI-powered tools that shape how software gets built and delivered.
Design and develop large-scale platforms for LLM training and AI workloads.
Tackle distributed-systems challenges including intelligent job scheduling and resource optimization.
Collaborate with international teams to build production-ready AI infrastructure.
This role is with a partner company, an AI-focused R&D team building infrastructure for large language models. They are a fast-moving, highly technical team with a collaborative and innovative culture.
Own and drive complex, multi-team programs across Reddit's infrastructure stack, including Compute, Storage, Messaging, and more.
Partner deeply with engineering teams as a technical peer to bring large-scale migrations and platform evolution efforts to completion.
Leverage AI and LLM-assisted tooling to automate reporting, improve cost anomaly detection, and enhance program management workflows.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information, powered by a flexible and inclusive workforce.
Set technical direction and own architecture for AI-powered developer tools and the self-service platform.
Design and build production AI agents, LLM integrations, and platform infrastructure for developer productivity.
Mentor engineers, lead design reviews, and drive cross-team technical delivery across Docker.
Docker provides developer tools for building, sharing, and running applications, trusted by over 20 million monthly users. They are a globally distributed, remote-first team focused on AI-native software development and platform engineering.
Own and ship real features end-to-end using React/TypeScript, Django/Python, and GraphQL from day one.
Use cutting-edge AI tools like Cursor, Claude, and n8n to accelerate development and raise quality.
Collaborate closely with Product, Design, and QA in a fast-paced, remote-first environment with mentorship from a senior engineer.
Fellow.ai provides an AI-powered chief of staff that understands meeting discussions and helps teams be more productive. It is a remote-first, Series A startup with a small engineering team that values rapid delivery, craftsmanship, and continuous learning.
Build AI-based features into a platform serving millions of users.
Work directly with the platform architect to bring deep, hands-on LLM-stack expertise to production.
Stand up core AI infrastructure from scratch and shape engineering practices as the team grows.
TMTG is a social media company dedicated to delivering an engaging and censorship-free experience. It is fast-paced, rapidly growing, and committed to free speech.
Lead client-facing engineering and solutioning from pre-sales through early delivery for enterprise AI platforms.
Architect and implement AI stacks, agentic solutions, and cloud-native platforms using Python, GenAI, and LLMs.
Drive AIOps, observability, and mission-critical platform transformation programs for regulated industries.
Global technology consulting and digital solutions company that enables enterprises to reimagine operations and drive measurable business impact. Its Enterprise AI business unit focuses on scaled, production-grade AI adoption and agentic platforms.
Own the architecture and evolution of APADCode's core backend platform and stateful AI interviewer runtime.
Design event-driven systems, coding execution infrastructure, and asynchronous pipelines for AI evaluation.
Build production-grade reliability, observability, and security across service boundaries and deployment workflows.
APADCode is an early-stage AI startup building live, adaptive technical interview infrastructure for evaluating software engineers. It is a small, founder-backed team focused on real hiring workflows and direct collaboration.
Design and implement scalable cloud infrastructure using Kubernetes, Pub/Sub, and distributed systems technologies.
Collaborate with our AI team to optimize data pipelines and integrate AI to remove performance bottlenecks.
Drive platform reliability initiatives including alerting, health checking, and incident management.
Syllo is building a unified litigation platform that helps lawyers and paralegals use AI throughout the litigation life cycle. We are a quickly expanding company with enterprise customers including major law firms and corporations.
Own and improve the platform that processes customer jobs, focusing on speed, reliability, and resource efficiency.
Partner with machine learning teams to serve models effectively and integrate them into production workflows.
Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
They build an AI document processing product and operate its platform infrastructure. Company size and culture are not specified, but engineers work closely with ML teams and own platform reliability.
Design and build full-stack capabilities supporting AI initiatives across Keeper's product portfolio.
Develop backend services, APIs, and frontend experiences that integrate AI-driven functionality into secure production environments.
Collaborate with AI and product engineering teams to remove technical dependencies and deliver production-ready AI features.
Keeper Security is a cybersecurity software company providing zero-knowledge and zero-trust security solutions that protect passwords, secrets, and infrastructure. It is a fast-growing global organization trusted by millions of users and thousands of enterprises, with a culture focused on innovation and reliability.
Own security solutioning for k0rdent AI across the full stack, from hardware to AI models.
Publish reference architectures and proofs of concept with customers and partners.
Research emerging threats and present to engineers, executives, and conference audiences.
Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company enabling organizations to build scalable, secure infrastructure for AI and data-intensive applications. It is a distributed, world-class team committed to openness and technical excellence.
Own the technical relationship and be the trusted advisor for CTOs and platform teams.
Architect real solutions that translate customer constraints into deployable AI infrastructure.
Lead proofs of concept under real conditions to demonstrate operational fit.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build scalable and secure infrastructure for modern AI workloads. The company has an installed base of 1,500 enterprise customers and values open source innovation, collaboration, and continuous growth.
Own network solutioning for k0rdent AI, designing GPU cluster interconnects and multi-tenant isolation.
Publish reference architectures and run proofs of concept on real hardware with customers.
Research emerging AI networking technologies and help shape the product roadmap.
Mirantis is a Kubernetes-native AI infrastructure company helping organizations build and operate scalable, secure infrastructure for modern AI workloads. It is committed to open standards, technical excellence, and a distributed, collaborative team culture.