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Nuable is hiring a Senior Backend Engineer to design and scale core backend services powering billions of API requests. You will own observability, logging and platform reliability while collaborating with enterprise engineering teams to deliver highly scalable infrastructure.
Proficiency in Python and/or Rust and a passion for infrastructure are essential. The role is on-site in San Francisco, offering a competitive salary and equity, with visa transfer support for eligible candidates and a
Contact – Joe@Nuable.io
Nuable are working with a fast-growing AI infrastructure startup that is building critical tooling for organisations deploying Large Language Models (LLMs) into production.
Following impressive commercial growth and strong backing from leading technology investors, our client is expanding its engineering team and is looking to hire a Senior Backend Engineer to help build highly scalable backend systems that power millions of AI requests every day.
This is an opportunity to join an ambitious engineering team working on developer infrastructure at scale, where you’ll have ownership over core backend services, observability and platform reliability.
On-site – San Francisco, California (5 days per week)
$200,000 – $260,000 + Competitive Equity
Our client is looking for an experienced Backend Engineer who enjoys building highly scalable distributed systems and developer infrastructure.
You’ll take ownership of critical backend services responsible for observability, logging and platform reliability, while helping build systems capable of processing billions of API requests each month.
This is a highly technical role that combines backend engineering, infrastructure and customer-facing problem solving, working closely with enterprise engineering teams deploying AI applications at scale.
Our client is an AI infrastructure company developing technology that simplifies how engineering teams build, deploy and manage applications powered by Large Language Models.
Their platform enables developers to integrate multiple AI models through a unified interface while providing the observability, reliability and operational tooling required to run production AI systems at scale. Already processing billions of requests each month, the business has achieved impressive commercial traction and continues to grow rapidly.
Backed by leading technology investors, the company combines the agility of an early-stage startup with the momentum of a business that has already established strong product-market fit. Engineers are given significant ownership, work closely with customers solving real-world technical challenges and have the opportunity to shape the future of AI infrastructure.
If you’re excited by distributed systems, developer tooling and building software that powers the next generation of AI applications, this represents an exceptional opportunity to join one of the fastest-growing businesses in the space.