Staff Applied AI Engineer

Crusoe
Tel Aviv, Israel
On-site

Who this role is best for

Candidates with inference engineering experience and customer-facing technical leadership will find this role at Crusoe offers a unique opportunity to shape AI infrastructure at scale.

Best fit for

  • Candidates with 5+ years in production AI engineering and a background in customer-facing technical roles
    — “5+ years in a technical role with strong programming and production skills”
  • Individuals who have led inference engine optimization and performance tuning in real-world deployments
    — “Tune engines (KV cache, speculative decoding, parallelism, quantization) to hit aggressive performance targets”
  • Candidates with hands-on experience in model fine-tuning and open-source engine contributions
    — “Hands-on background in fine-tuning/post-training (LoRA, SFT, DPO) or contributions to open-source engines”

Things to consider

  • This role requires direct customer engagement and leadership in technical discussions
    — “Proven ability to lead technical discussions with customer engineers and leadership”
  • The position involves significant responsibility for end-to-end customer onboarding and deployment
    — “Own end-to-end customer onboarding, deployment, autoscaling, capacity planning, and SLO monitoring”

How to stand out

  • Emphasize your ability to translate customer needs into technical benchmarks and POCs
    — “Scope workloads, define metrics (TTFT, throughput, cost/token), build benchmarks, and lead technical POCs”
  • Demonstrate your ability to provide technical leadership during architecture reviews and rollout planning
    — “Serve as the technical lead for customer engineering teams through architecture reviews and rollout planning”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deployed, optimized, and scaled models into production
  • published reference architectures
Typical background
inference engineeringmachine learning

Skills & requirements

Required

Inference EngineeringPerformance ProfilingModel OptimizationCustomer-facing Technical LeadershipProduction Skills

Preferred

Fine-tuningOpen-source ContributionsTechnical Writing

Stack & domain

AI InfrastructureInference EngineeringCustomer-facing Technical LeadershipTechnical PocsProduction FixesCustomer OnboardingDeploymentAutoscalingCapacity PlanningSLO MonitoringModel OptimizationFine-tuningPost-trainingOpen-source EnginesKubernetesDockerGPU ServersInference EnginesPerformance ProfilingKv-cache TuningBatchingParallelismQuantizationCost MathOpen-source Model LandscapeHardware-model MatchingProblem-solvingOpportunity-findingUrgencyAmbitionCuriosityOwnershipWillingness To Challenge The Status QuoTechnical Discussions LeadingCustomer Engineering Teams ServingArchitecture Reviews ConductingRollout PlanningProduction Fixes DeliveringField Insights FeedingProduct Roadmaps ContributingTechnical Blogs PublishingReference Architectures CreatingCookbooks CreatingAIData Center ConstructionCloud ServicesEnergyManufacturing

About the role

Original posting from Crusoe via Ashby

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

As an Applied AI Engineer on Managed Inference at Crusoe, you will partner directly with our strategic customers to deploy, optimize, and scale their models into production. You will own the technical journey end to end, from benchmark POCs that win deals to production endpoints serving billions of tokens daily with optimal latency, throughput, and cost. This role bridges deep inference engineering with customer-facing technical leadership, helping shape Crusoe's core AI platform.

What You’ll Be Working On:

  • Scope workloads, define metrics (TTFT, throughput, cost/token), build benchmarks, and lead technical POCs.
  • Serve as the technical lead for customer engineering teams through architecture reviews and rollout planning.
  • Tune engines (KV cache, speculative decoding, parallelism, quantization) to hit aggressive performance targets.
  • Profile and diagnose bottlenecks at the engine level to deliver production fixes.
  • Own end-to-end customer onboarding, deployment, autoscaling, capacity planning, and SLO monitoring.
  • Optimize configurations for base, custom, and fine-tuned models to accelerate time-to-value.
  • Feed field insights back into product roadmaps and contribute code to our inference engine and tooling.
  • Publish reference architectures, cookbooks, and technical blogs.

What You’ll Bring to the Team:

  • 5+ years in a technical role with strong programming and production skills (Kubernetes, Docker, GPU servers).
  • Proven ability to lead technical discussions with customer engineers and leadership.
  • Hands-on experience with inference engines (vLLM, SGLang, TensorRT-LLM) and performance profiling.
  • Strong command of KV-cache tuning, batching, parallelism, quantization, and related cost math.
  • Solid knowledge of the open-source model landscape and hardware-model matching.
  • Experience as an FDE, solutions engineer, or inference engineer at an AI cloud, lab, or provider.
  • Hands-on background in fine-tuning/post-training (LoRA, SFT, DPO) or contributions to open-source engines.

Benefits:

Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being. Our benefits are tailored to local market standards and include core offerings such as pension contributions and additional perks to support work-life balance.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Source: Crusoe careers (Ashby)

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