AI/ML Engineer

Cracken; España; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A fast-growing cybersecurity startup is seeking an AI/ML Engineer to drive innovations in cybersecurity. The ideal candidate will have at least 3 years of experience in leading applied AI projects, be proficient in Python, and have knowledge of AI agent frameworks and MLOps. Responsibilities include designing LLM-based systems, managing infrastructure for model serving, and collaborating across teams. Join a team passionate about making a real-world impact while operating on the cutting edge of AI and cybersecurity.

Formación

• 3+ years experience leading applied-AI projects with evidence of scaling LLMs.
• Deep experience in Python for implementation and development.
• Proficient in evaluating AI agent performance and integrating AI into existing systems.

Responsabilidades

• Design and implement LLM-based pipelines for secure-code understanding.
• Manage infrastructure for training and serving LLMs.
• Collaborate with multi-disciplinary teams to embed ML into features.

Conocimientos

Python

AI agent frameworks

ML/AI cloud technologies

MLOps

Herramientas

Docker

Kubernetes

Descripción del empleo

About Company

Cracken is a fast-growing Silicon Valley-based startup built by elite nation-state and commercial operators who defended critical cyber infrastructure during the war in Ukraine, researched AI and cybersecurity at MIT and Kyiv Polytechnic, and led teams at Apple, Google, Palo Alto Networks, HackerOne, DIU, Comcast, HP, and more.

We tame Cracken, an AI Agent for Cybersecurity with human-in-the-loop. Our flagship product, is an agentic AI copilot drastically scaling cyber assessments for enterprises and governments.

We are growing and seeking an AI/ML Engineer to help us pioneer the future of cybersecurity.

Responsibilities

• Design and implement LLM-based pipelines and agentic systems for secure-code understanding/generation in production SaaS.

• Setup and manage infrastructure for training, evaluating, and serving LLMs (MLOps responsibilities).

• Collaborate with data-science, product and security teams to embed ML into customer features.

• Conduct ML/AI research and prototyping to explore and validate new techniques and tools.

• Optimise existing models for latency, accuracy and cost; introduce new techniques as the field evolves.

• Safeguard data integrity and security across the entire ML lifecycle.

Requirements

• 3+ years leading applied-AI projects with evidence of scaling LLM or multi-agent systems to production.

• Deep experience in Python.

• Experience with AI agent frameworks:

  • implementation of Generative AI Agents using Langchain / Haystack and others;
  • implementation of RAG using LlamaIndex and other Advanced RAG frameworks;
  • evaluation of AI Agent Performance;
  • integration of AI Agents into Existing Systems.

• Experience with cloud technologies, specifically in the ML/AI context.

• Experience with MLOps: infrastructure setup, model evaluation, serving pipelines.

Nice-to-Have

• Cybersecurity product background: worked on security-focused software or platforms.

• Experience containerising & orchestrating ML services (Docker, k8s) and automating workflows.

• Publications or notable open-source contributions in ML / security.

• Background in code-analysis or application-security domains.

Why Cracken?

• Real-World Impact: Validated in nation-state operations and supported by internal researches.

• Team's Unique Motivation & Expertise: Ukrainian-heavy international team with Ph.D.s, professors, and top-tier industry veterans, driven by intrinsic passion forged through exposure to the hardships of war.

• Impeccable Timing & Positioning: At the cutting edge of AI, cybersecurity, and autonomous systems, Cracken is best positioned to win the race against adversaries.