Senior Software Developer: Models Team (Token Factory)

Responsibilities

• Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises.
• We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs.
• Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases.
• NUMA-aware deployments
• The team maintains and extends forks of leading inference frameworks such as vLLM and TRT-LLM. We have deep expertise in production-scale model serving and regularly support the Solutions Architects team on the most demanding customer PoCs.
• Automated search for optimal serverless deployment configurations
• We collaborate closely with model builders, open-source communities, Nebius Cloud teams, and hardware vendors to continuously improve our serving infrastructure.
• While many team members joined without extensive AI/ML experience, we have rapidly developed strong expertise in large-scale model serving and AI infrastructure.
• Our work is deeply integrated with the broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems. We collaborate closely with teams working on cloud infrastructure, observability, reliability, fault tolerance, and platform engineering. The challenges we solve sit at the intersection of distributed systems, high-performance computing, and modern AI infrastructure.
• Experience designing and operating highly scalable, highly available distributed services

Languages