Immediate start

Role overview

You have the unique opportunity to join our team, building an AI/ML platform to develop and train state-of-the-art AI-based cybersecurity agents. This is a hands-on infrastructure work in a security-sensitive environment, in collaboration with real external R&D teams building solutions on this very platform.

We are looking for a junior engineer who wants to grow into a platform specialist: you will work alongside experienced engineers from day one, and we expect you to learn a lot on the job including ML infrastructure, cybersecurity practices, and working in a classified environment. We are looking for someone curious and driven to figure things out. 

Key responsibilities

Help build and operate AI/ML infrastructure: GPU cluster management (Incus, LXD fork), Kubernetes (Talos Linux), model registry, inference serving, and data pipelines

Maintain reproducible, auditable environments with CI/CD and configuration management (Ansible, GitOps)

Support platform users, internal and external: on-boarding, troubleshooting, and writing documentation

Deploy and benchmark open-weight LLMs and other models on our own hardware

Take part in planning with R&D technical leads and project managers so you understand how infrastructure decisions connect to project content, budget, and schedule

Learn and apply security-by-design practices in a classified environment: hardening, isolation, patching, compliance

Grow with the team and take on more ownership as your skills develop

This role contributes to the Research and Development project AIDA, building into EU defence capabilities

Ideal candidate must have

Solid Linux fundamentals: comfortable on the command line, understand how services, networking, and permissions work

Familiarity with Git and basic scripting in Python or Bash

Some hands-on exposure to containers (Docker or similar) from work, studies, or personal projects

Ability to learn independently, ask good questions, and document what you find

Good communication skills, both spoken and written, including proficiency in English

Willingness to apply for security clearance

Readiness to work on-site in Tallinn, with the option for partial hybrid work if desired

Ideal candidate would have experience in or would be willing to learn

Kubernetes, CI/CD pipelines, and configuration management (e.g. Ansible)

ML workloads: GPU drivers/CUDA, model serving (vLLM, Ollama, llama.cpp or similar), experiment tracking (Mlflow or similar)

Infrastructure as code, GitOps, and observability tooling (Terraform/OpenTofu, Argo CD/Flux, KubeFlow, Prometheus/Grafana)

Cybersecurity practices, methodologies and standards

Working in restricted network environments

A degree in computer science or IT is a plus, but relevant side projects or open-source contributions that show how you work counts just as much. You don’t need to tick every box, but if you have been tinkering with servers, containers, or local LLMs and want to do it seriously, with mentorship and in a real cybersecurity domain, then we are looking for you! 