exeon
exeon~1d ago
New

Senior AI Engineer

SwitzerlandSwitzerlandRemotesenior
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

As a Senior AI Engineer, you will be a core member of our Development team and thus closely collaborate with our developers, data scientists as well as our cybersecurity professionals.

Requirements Summary

Open, reliable and collaborative professional who enjoys working in teams and can take ownership over individual projects 5+ years of experience in software or ML engineering,

Technical Tools
Machine Learning EngineerData

Exeon Analytics is a Swiss security analytics software vendor delivering holistic visibility, reliable detection, and actionable response across networks, identities, and applications. By combining AI-driven behavior analytics with expert-built detection logic, our solution uncovers hidden threats, reduces blind spots, and enables compliant, sovereign cyber defense.

At Exeon Swiss excellence meets a flexible, remote-first, and collaborative culture, supporting passionate, ambitious professionals devoted to solving cybersecurity challenges and driving continuous innovation.

Responsibilities

~1 min read

As a Senior AI Engineer, you will be a core member of our Development team and thus closely collaborate with our developers, data scientists as well as our cybersecurity professionals. You will take a leading role in designing, building, evaluating, and continuously improving Exeon’s AI projects that supports engineers, security analysts, and business stakeholders. You also will shape how AI capabilities are embedded across Exeon's product portfolio.

In particular, you will:

  • Lead AI initiatives related to our NDR (Network Detection & Response) and UEBA (User and Entity Behavior Analytics) products

  • Design and implement RAG pipelines, prompt engineering frameworks, and evaluation systems to ensure reliability and accuracy

  • Collaborate closely with security analysts and domain experts to translate complex cybersecurity workflows into effective AI-assisted solutions

  • Define and uphold best practices for AI development, including model evaluation, safety, and responsible deployment

  • Mentor team members and contribute to building a strong AI engineering culture across the organization

Exeon offers an open company culture that values and encourages diversity, teamwork and a growth mindset. Our goal is to provide our employees with an exciting, supportive and motivating environment for personal growth and career development while ensuring that our team maintains a healthy work-life balance. We strive to achieve this by offering:

  • Value-Driven CultureWork guided by our Exeon values (proactive problem-solving, curiosity, ambition, ownership, transparency and care for each other)

  • Continuous Personal Growth: Benefit from our annual training budget dedicated to your professional development.

  • Truly International Team: Join colleagues from diverse backgrounds across the globe.

  • Company Events & Workshops: Connect with colleagues through regular team events and collaborative workshops.

  • Remote‑First & Flexible Work: Enjoy remote‑first culture with hybrid options (office in Zürich) when it fits best.

  • Family-Friendly Options: Part-time roles & enhanced maternity and paternity leave.

We are looking for a proactive, self-motivated and enthusiastic individual who’s comfortable in a high-paced scale-up environment and who shares our values. In addition, we are looking for certain requirements and skills to establish a good person-job-fit:

  • Open, reliable and collaborative professional who enjoys working in teams and can take ownership over individual projects

  • 5+ years of experience in software or ML engineering, with a strong focus on NLP, LLMs, or applied AI

  • Hands-on experience building and deploying LLM-powered applications (e.g., RAG systems, agents, fine-tuning pipelines)

  • Proficiency in Python and familiarity with frameworks such as Opencode, Openterminal, LangChain, LlamaIndex, or similar

  • Strong understanding of the full ML lifecycle — from prototyping to production monitoring

  • Experience working in cross-functional teams, ideally in a fast-paced product company

  • A plus: background in cybersecurity or network detection technologies

  • Fluent English.

Location & Eligibility

Where is the job
Switzerland
Remote within one country
Who can apply
CH

Listing Details

First seen
July 30, 2026
Last seen
July 30, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
59%
Scored at
July 30, 2026

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exeonSenior AI Engineer