Forward Deployed Engineer – AI Inference (Intern) arbeitnow Lyceum Berlin · 10/9/2026

Primetime; Berlin; Hybrid; EUR 12,000 - 19,000; Full time

Job summary

Primetime is seeking an Forward Deployed Engineer Intern to bridge the gap between customers and engineering in AI inference deals. You will determine the best models, GPUs, and configurations for dedicated inference, and lead technical sessions to help customers make informed decisions.

This role blends engineering with customer engagement, turning manual processes into scalable products. You’ll work with the commercial team to advance deals and translate customer needs into actionable specs

Qualifications

• Studies in computer science, data science or a closely related field.
• Interest in or first exposure to AI inference: LLMs, inference engines, GPUs.
• Real excitement about working with customers and the commercial side – not just the technical one.
• Strong communication skills: you talk confidently to customers and engineers alike.
• An entrepreneurial mindset: give you an outcome, and you find a way without getting blocked.
• You stay calm and constructive when your ideas are challenged.

Responsibilities

• Match customer requirements to the right models, GPUs and configurations for dedicated inference.
• Run technical sessions with customers and help them make confident decisions.
• Work in tandem with our commercial team to move deals forward.
• Support serverless and API customizations, and help turn recurring ones into product.
• Translate customer needs into clear technical specs for our engineering team.
• Collect benchmarks and learnings that help us automate matching and customizations.

Skills

Customer-facing

Communication

Entrepreneurial mindset

Calm under pressure

Presentation

Education

Studies in CS / data science

Tools

LLMs

Inference engines

GPUs

Job description

As a Forward Deployed Engineer Intern, you own the technical side of our AI inference deals. You help customers figure out which models, GPUs and configurations fit their needs, run technical sessions with them, and work hand in hand with our commercial team to get deals closed.

This is not a pure engineering role: you'll spend a lot of time with customers, and we're looking for someone who enjoys exactly that. Much of this work is still manual today – you'll help us turn it into product.

What You'll Do

Match customer requirements to the right models, GPUs and configurations for dedicated inference

Run technical sessions with customers and help them make confident decisions

Work in tandem with our commercial team to move deals forward

Support serverless and API customizations, and help turn recurring ones into product

Translate customer needs into clear technical specs for our engineering team

Collect benchmarks and learnings that help us automate matching and customizations

What We're Looking For

Studies in computer science, data science or a closely related field

Interest in or first exposure to AI inference: LLMs, inference engines, GPUs

Real excitement about working with customers and the commercial side – not just the technical one

Strong communication skills: you talk confidently to customers and engineers alike

An entrepreneurial mindset: give you an outcome, and you find a way without getting blocked

You stay calm and constructive when your ideas are challenged

Bonus Points

Coursework or projects on inference engines or ML systems (e.g. vLLM, SGLang, TensorRT-LLM)

Experience with GPU sizing, model serving, benchmarking or performance optimization

A previous internship at an AI infrastructure or inference company

Startup experience

German

Why us?

Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities

Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world

Ownership: Shape how European AI companies access GPU compute

European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech

This overview was written from the original listing to help you understand the role. Always confirm the specifics on the employer’s application page.