We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional autoregressive LLMs. Backed by AI Grant and Amplify.
About the role
We seek experienced backend engineers to own the systems that serve our diffusion LLMs in production. You'll build and operate infrastructure that handles billions of inference requests — optimizing for latency, throughput, cost, and reliability. This role sits at the intersection of ML systems and backend infrastructure.
What they're looking for
- Design, build, and operate scalable backend services and model serving infrastructure for our diffusion LLMs
- Implement and manage load balancing, autoscaling, and traffic routing for model endpoints
- Build systems for model versioning, canary deployments, and zero-downtime rollouts
- Develop monitoring, alerting, and observability tooling to ensure SLA compliance and rapid incident response
- Benchmark and evaluate serving frameworks and hardware configurations to inform infrastructure decisions
- BS/MS/PhD in Computer Science or a related field (or equivalent experience)
More about this role
Inception creates the world’s fastest, most efficient AI models. Our Mercury model is the world’s fastest reasoning LLM and first commercially available diffusion LLM, delivering 5x greater speed and efficiency than today’s LLMs, with best-in-class quality.
We are the AI researchers and engineers behind such breakthrough AI technologies as diffusion models, flash attention, and DPO.
The Role
We seek experienced backend engineers to own the systems that serve our diffusion LLMs in production. You'll build and operate infrastructure that handles billions of inference requests — optimizing for latency, throughput, cost, and reliability. This role sits at the intersection of ML systems and backend infrastructure.
Key Responsibilities
- Design, build, and operate scalable backend services and model serving infrastructure for our diffusion LLMs.
- Implement and manage load balancing, autoscaling, and traffic routing for model endpoints.
- Build systems for model versioning, canary deployments, and zero-downtime rollouts.
- Develop monitoring, alerting, and observability tooling to ensure SLA compliance and rapid incident response.
- Benchmark and evaluate serving frameworks and hardware...
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