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Runware

Staff Software Engineer - Serverless

Runware is hiring a Staff Software Engineer - Serverless for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Runware.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions vLLM among its tools and skills.
  • Level classes it as a lead role.
  • Runware has 22 other open roles on Level.

AI in this role

vLLM

We’re looking for a Staff/Senior Software Engineer to technically lead and build Runware’s serverless platform. You’ll be part of a small team working closely with senior leadership to bring a new product line to market.

Runware is evolving beyond model APIs into a platform where developers can deploy models and run AI workloads without managing GPUs, servers or infrastructure. You’ll build the software layer that connects our proprietary high-performance sonic inference engine and turns complex infrastructure into a compelling developer experience.

This is a role for someone who enjoys technical leadership, hard platform problems and clean, simple systems. Your work will help enterprises, model labs and developers move from idea to production faster, then scale without needing to build and operate the infrastructure themselves.

What you’ll do

  • Build the core systems behind Runware’s serverless platform, including workload execution, routing, scheduling, isolation and scaling leveraging our inference engine
  • Make it simple for developers to deploy models and run AI workloads without managing GPUs, servers, queues or infrastructure through a simple SDK interface
  • Design and improve the control plane for serverless execution, including APIs, workers, lifecycle management, retries and failure handling
  • Work closely with our infrastructure and ML teams to improve workload startup time, GPU utilisation, model warm-up, caching and placement
  • Build observability that makes serverless workloads easy to monitor, debug and operate at scale globally
  • Lead the technical design, mentor other engineers and help define the engineering standards for a new product area

Requirements

  • Strong experience as a Staff Engineer, Senior Software Engineer, Backend Engineer, Platform Engineer or similar
  • Experience building backend services, distributed systems, developer platforms or workload orchestration systems
  • Strong understanding of async processing, queues, scheduling, retries, back pressure and failure handling
  • Comfortable working across APIs, control planes, workers, databases and observability systems
  • Strong engineering fundamentals in one or more backend languages ideally Go
  • Good judgement around trade-offs between reliability, latency, scale, cost and developer experience
  • Clear communication, strong ownership and the ability to lead technical direction in a fast-moving environment

Nice to have

  • Experience building serverless platforms, job execution systems, container platforms or compute orchestration systems
  • Experience with GPU-backed workloads, AI/ML inference, model serving, batch processing or high-performance compute
  • Familiarity with technologies such as vLLM, TensorRT, Triton, Kubernetes, Nomad or Knative
  • Experience improving workload performance through batching, autoscaling, model warm-up, caching, request routing or queue management
  • Experience with multi-tenant isolation, sandboxing, quotas, rate limits, resource accounting or usage-based billing

Benefits

We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

We move quickly and hold a high bar, but we also believe sustainable performance matters. After major releases and milestones, we create space for the team to properly unplug, recharge and come back with the energy to tackle what's next.

  • Generous paid time off – vacation, sick days, public holidays
  • Meaningful stock options – share in the upside you create
  • Remote-first setup – work from home anywhere we can employ you
  • Flexible hours – own your schedule outside core collaboration blocks
  • Family leave – paid maternity, paternity, and caregiver time
  • Company retreats – twice-yearly gatherings in inspiring locations

How we rate this

Staff Software Engineer - Serverless at Runware rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

vLLM

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. What's a project where you used vLLM hands-on?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: vLLM. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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