Role overview
Job description
Join Hire Hangar and work with fast-growing global companies while building a long-term career. Job Title: LLM Infrastructure Engineer Location | Remote Time Zone | US Time Zones (EST–PST) Role Overview: We are seeking an LLM Infrastructure Engineer with hands-on experience building the systems that power large language models. This is a full-time, hands-on engineering role focused on designing, deploying, and scaling the infrastructure behind model training, fine-tuning, and inference. You will work closely with machine learning and engineering teams to make sure models run reliably, efficiently, and cost-effectively in production. The ideal candidate understands both the demands of LLM workloads and the cloud systems needed to support them at scale. Key Responsibilities: - Design, build, and maintain infrastructure for training, fine-tuning, and serving large language models - Deploy a
…About this listing
- Source: Hire Hangar's official careers site (via Ashby) · last confirmed on the source 29 Oct 2026
- Posted 16 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Proven experience building large language model infrastructure (non-negotiable) - Hands-on experience deploying and serving machine learning models in production environments - Strong programming skills in Python, with experience in systems or backend development - Experience with containerization and orchestration tools such as Docker and Kubernetes - Solid understanding of distributed systems, GPU computing, and performance optimization - Strong written and spoken English with a clear, professional communication style - Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered. Preferred
Department · Clients
Hiring company
Hire Hangar
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€65K – €105K/yr
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