5 hours ago
Helsinki, FinlandMid Level
Responsibilities
- Design, develop, and maintain AI features and ML models serving millions of end users.
- Build and maintain scalable APIs that integrate models directly into Hoxhunt products.
- Ensure the reliability, scalability, and observability of AI systems.
- Collaborate with product teams and product managers to scope and execute complex projects.
- Own initiatives end to end from initial idea through execution.
- Contribute to multimodal pipelines, multi-step agentic systems, and specialist ML models.
- Contribute to architectural decisions and project planning while rapidly shipping production features.
Requirements
- At least 3 years of software engineering experience in production environments.
- Strong Python skills and solid software engineering fundamentals, including production-grade coding.
- Hands-on experience with LLMs, generative AI systems, and ML feature development in production.
- Experience with at least one major cloud platform, such as GCP, AWS, or Azure.
- Ability to work independently in loosely defined problem spaces and iterate quickly.
- Preferred experience building and deploying ML models at scale or working with agentic AI workflows.
- Preferred background in a SaaS product company.
- Preferred knowledge of GCP, API design, observability, or scalability patterns.
- TypeScript experience is a bonus.
Benefits
- Monthly salary of €5000–€6500 depending on experience.
- Flexible hybrid work arrangement with an expectation to visit the Helsinki office weekly.
- Extensive healthcare and other benefits.
- Helsinki office with a gym and swimming pool.
- High-autonomy, low-bureaucracy culture with psychological safety and strong colleague support.
Categories
About Hoxhunt
Hoxhunt builds a human risk management platform for enterprises that uses AI and behavioral science to deliver personalized phishing training, threat reporting, and outcome metrics. It sells SaaS security awareness and response tools to help security teams reduce phishing risk and act on user-reported threats. Founded in 2016 and headquartered in Helsinki, customers include DocuSign and Nokia, and it partners with Microsoft and Deloitte.