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atlantic.vc

Co-Founder & CTO

Salary not disclosedOnsite

  • Engineering
  • Berlin
  • Full time
  • Yesterday
Newly posted

About the role

As a technical co-founder and CTO, you will partner with the founder to transform the company's vision into a robust architecture, product, and engineering team. You will lead the development of an AI efficiency engine that optimizes model routing, fine-tuning, and serving to reduce costs and improve performance. This role requires a hands-on leader who can balance high-level architectural decision-making with active coding and team building.

Responsibilities

  • Lead the engineering team, including hiring, mentoring, and establishing operational standards.
  • Set the technical direction, including architectural choices and roadmap development.
  • Develop the efficiency engine by implementing routing, caching, fine-tuning, and quantization techniques.
  • Manage open-weight model serving and infrastructure, including GPU capacity and European hosting.
  • Build rigorous evaluation harnesses to ensure quality standards are met.
  • Develop the platform infrastructure, including gateway APIs, identity management, and cost accounting.
  • Represent the company technically in customer pilots, security reviews, and investor discussions.

Required skills

  • Engineering leadership
  • Distributed systems
  • API design
  • Postgres
  • Kubernetes
  • Terraform
  • LLM cost efficiency
  • LoRA
  • QLoRA
  • Model routing
  • Model quantization
  • Agentic engineering
  • LLM benchmarking

Nice to have

  • LiteLLM
  • NVIDIA NIM
  • TGI
  • llama.cpp
  • Scaleway
  • Hetzner
  • OVH
  • German language

Qualifications

  • Experience as a CTO, VP Engineering, Head of Engineering, or engineering lead
  • Experience taking systems into production and operating under load

Benefits

  • Co-founder equity

About the Company

Atlantic portfolio venture building an AI model efficiency engine that brings closed providers and open-weight models together behind a single API. The company focuses on unlocking the potential of existing models through routing, fine-tuning, and cost-effective serving.