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About careerpulse
careerpulse is a trailblazing cybersecurity scale‑up that blends Swiss precision with cutting‑edge AI technology to safeguard the most complex IT, OT, and IoT environments. Born from a partnership with ETH Zurich, careerpulse’s flagship product, careerpulse.NDR, delivers real‑time threat detection, automated incident response, and actionable intelligence with unmatched speed and accuracy. Our mission is simple: empower enterprises to stay one step ahead of cyber adversaries by turning data into decisive action.
We operate in a fast‑paced, remote‑first culture that values autonomy, collaboration, and continuous learning. Whether you’re based in Zurich, Berlin, or working from home across Switzerland or Germany, you’ll find a supportive community of security experts, data scientists, product managers, and technical writers who are passionate about solving the toughest challenges in cyber defense.
Why This Internship Matters
As an AI Chat Assistant & Knowledge Engineering Intern, you will be at the forefront of careerpulse’s next‑generation internal tooling. Your work will directly influence how engineers, analysts, and stakeholders access critical information, reducing time to insight and improving the overall security posture of our clients. You’ll also shape the future of careerpulse’s knowledge base, ensuring that our AI systems can understand, reason, and respond with precision.
Key Responsibilities
1. AI Chat Assistant Development (≈50%)
- Extend and refine careerpulse’s internal LLM‑powered assistant, initially designed for internal use but with potential for external deployment.
- Build and iterate a Retrieval‑Augmented Generation (RAG) stack: document ingestion pipelines, intelligent chunking, embeddings generation, vector search, ranking algorithms, and answer synthesis.
- Design and run rigorous offline and human‑in‑the‑loop evaluation experiments, measuring precision/recall of retrieval, response helpfulness, hallucination rates, latency, and cost metrics.
- Collaborate with the AI mentor to experiment with state‑of‑the‑art frameworks such as LangChain, Haystack, or Semantic Kernel, and to prototype novel retrieval strategies.
- Document architecture decisions, experiment results, and best practices for future reference.
2. Knowledge Base & Documentation Engineering (≈50%)
- Audit existing technical guides, runbooks, playbooks, and product documentation to identify gaps that hinder LLM accuracy.
- Rewrite or refactor content into LLM‑friendly formats: FAQ patterns, Q&A primitives, step‑by‑step procedures, and concise summaries.
- Develop lightweight authoring standards and contribution guidelines that ensure new documentation is structured, consistent, and ready for AI consumption.
- Collaborate with Security Engineering, Product, Customer Success, and Technical Writing teams to capture domain knowledge and keep documentation up‑to‑date.
- Implement automated pipelines to ingest updated documents into the vector store, ensuring the assistant always has the latest information.
What You’ll Gain
- Hands‑on experience with LLMs and RAG pipelines – from data ingestion to model fine‑tuning and evaluation.
- Deep exposure to cybersecurity operations and the inner workings of a leading AI‑driven security platform.
- Opportunity to shape careerpulse’s knowledge engineering practices and influence product features.
- Mentorship from senior AI researchers and security experts.
- Clear career progression: interns who excel often transition into full‑time roles such as AI Engineer, Knowledge Engineer, or Product Manager.
- Access to internal learning resources, workshops, and conferences in AI and cybersecurity.
Essential Qualifications
- Currently pursuing or holding a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong programming skills in Python and familiarity with at least one LLM application framework (LangChain, Haystack, Semantic Kernel, etc.).
- Experience or strong willingness to learn about embeddings, vector databases, and information retrieval concepts.
- Excellent written communication in English; ability to produce clear, concise, audience‑aware documentation.
- Proficiency with Git and collaborative development workflows (GitHub, GitLab).
- Analytical mindset with a passion for problem‑solving and technical innovation.
- Proactive, self‑motivated attitude and the ability to work independently in a high‑velocity environment.
- Strong interest in cybersecurity and a basic understanding of threat detection and incident response.
Preferred (but not required) Skills
- Experience with large‑scale data ingestion and preprocessing pipelines.
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Familiarity with natural language processing libraries (spaCy, Hugging Face Transformers).
- Prior exposure to security analytics or SIEM tools.
- Experience writing technical documentation or contributing to open‑source projects.
Work Environment & Culture
careerpulse thrives on a culture of innovation, autonomy, and inclusivity. We believe that the best ideas come from diverse perspectives, so we actively foster an environment where every team member feels heard and empowered to experiment. Our remote‑first model gives you the flexibility to work from anywhere in Switzerland or Germany, while our Zurich office offers a collaborative hub for those who prefer in‑person interaction.
Key cultural pillars:
- Trust & Accountability – You’ll be given ownership of projects and the freedom to make decisions.
- Continuous Learning – Monthly knowledge‑sharing sessions, hackathons, and access to industry conferences.
- Work‑Life Balance – Flexible hours, generous vacation policy, and a supportive wellness program.
- Diversity & Inclusion – We celebrate differences and strive to create an environment where everyone can thrive.
Compensation & Benefits
While specific figures are not disclosed in the posting, careerpulse offers a competitive internship stipend aligned with industry standards for Switzerland and Germany. In addition to monetary compensation, interns receive:
- Health and dental insurance coverage.
- Access to a company‑wide learning budget for courses, certifications, and conferences.
- Flexible working hours and the option to work remotely.
- Team‑building retreats and social events.
- Mentorship and career coaching sessions.
How to Apply
If you’re excited to build cutting‑edge AI tools that protect critical infrastructure and you thrive in a fast‑moving, collaborative environment, we want to hear from you. Submit your resume, a brief cover letter outlining your interest in AI and cybersecurity, and any relevant project links or portfolio items.
Ready to join careerpulse and shape the future of AI‑driven security? .
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