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Forward Deployed Engineer AI Inference

Lyceum·Berlinsenior

In short

  • →Eres el ingeniero técnico principal detrás de los contratos más complejos de inferencia de LLM.
  • →Diseñas arquitecturas de inferencia en GPU, gestionas benchmarks y traduces lo aprendido en campo en playbooks.
  • →Trabajas directamente con CTOs y equipos de ML, cerrando acuerdos y moldeando el producto con experiencias reales.

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The questions they'll ask you

1. ¿Cómo diseñarías un setup de inferencia para un LLM de 70B con bajo latido y alto throughput en GPU A100?

2. ¿Qué métricas priorizarías al benchmarkear un modelo cuantizado vs. FP16 en un entorno de producción?

3. ¿Cómo convencerías a un CTO de usar una GPU específica si el costo es alto pero el rendimiento justifica el gasto?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓4+ años en roles técnicos comerciales con clientes
  • ✓Experiencia hands-on con inferencia de LLM (vLLM, SGLang, TensorRT-LLM, Triton)
  • ✓Capacidad de comunicar trade-offs técnicos con CTOs y ML leads
  • ✓Habilidad para liderar POCs y benchmarking
  • ✓Mentalidad emprendedora: resolver sin bloques
  • ✓Experiencia con tamaño de GPU, cuantización, paralelismo y batching

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

vLLMSGLangTensorRT-LLMTritonGPU sizingquantizationparallelismKV-cachebatchinginference engine

Who should you write to at Lyceum?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

The Role You will own the technical side of our largest and most complex inference deals, from first discovery call to go-live. You're the trusted technical counterpart for our customers' CTOs and ML leads, you design the setups that run their models, and you work hand in hand with our commercial team to get deals closed. You'll be one of two senior technical owners of our inference deals. Together with our Inference Sales Engineering lead, you'll also turn what we learn in the field into a repeatable playbook and product. g. g. vLLM, SGLang, TensorRT-LLM, Triton) and GPU sizing A track record of owning the technical side of complex B2B deals, ideally with enterprise customers You're credible with customer CTOs and engineers alike, and you explain trade-offs clearly Entrepreneurial mindset: give you an outcome, and you find a way without getting blocked Fluent English Bonus Points Experience at an inference provider, GPU cloud or AI infrastructure company Benchmarking and performance optimization: throughput, latency, cost per token Experience with quantization, parallelism strategies, KV-cache and batching Startup experience German Why us?

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