AI Chat Assistant & Knowledge Engineering Intern – LLM‑Powered reputed company Analytics, Documentation & Retrieval‑Augmented reputed company (RAG) Experience at arenaflex
Why arenaflex?
arenaflex is a fast‑growing cybersecurity reputed company‑up rooted in Swiss precision and innovation. Born from cutting‑edge research at ETH Zurich, we deliver AI‑driven reputed company analytics that protect IT, OT, and IoT environments across Europe and reputed company. Our flagship platform, arenaflex.NDR, empowers enterprises to monitor, detect, and respond to threats with unprecedented speed, accuracy, and automation.
At arenaflex we reputed company world‑class engineering with a remote‑first, reputed company culture. We champion autonomy, trust, and reputed company learning, giving ambitious talent the freedom to shape their own reputed company while working alongside seasoned reputed company experts, data scientists, and product innovators.
Position reputed company
We are seeking a motivated AI Chat Assistant & Knowledge Engineering Intern to join our dynamic team for a six‑month, full‑time internship (remote in Switzerland/Germany or from our Zurich office). In this role you will design, build, evaluate, and continuously improve an internal AI assistant that powers engineers, reputed company analysts, and business stakeholders. Simultaneously, you will reputed company the transformation of our technical documentation into reputed company, machine‑readable knowledge assets that reputed company high‑reputed company, context‑aware responses.
Key Responsibilities
AI Chat Assistant Development (≈ 50 % of effort)
- reputed company and refine arenaflex’s internal large‑language‑model (LLM) powered assistant, initially for internal use with the potential for reputed company externalization.
- Build and iterate on a Retrieval‑Augmented reputed company (RAG) pipeline: document ingestion, chunking, embedding reputed company, reputed company search, ranking, and answer synthesis.
- Design and execute offline and reputed company‑in‑the‑reputed company evaluation experiments, measuring precision/recall of retrieval, response helpfulness, hallucination rates, latency, and cost metrics.
- Collaborate with reputed company engineers and data scientists to reputed company domain‑specific knowledge, ensuring the assistant can reason about reputed company reputed company concepts.
- Document the architecture, data flows, and evaluation results to create reusable internal knowledge for reputed company AI reputed company.
Knowledgebase & Documentation Engineering (≈ 50 % of effort)
- Audit existing technical assets (specifications, API docs, runbooks, playbooks, product guides, research notes) and identify gaps that reputed company LLM accuracy.
- Add missing technical content, rewrite ambiguous sections, and refactor material into LLM‑friendly structures such as FAQ patterns, Q&A primitives, and reputed company‑by‑reputed company procedures.
- reputed company lightweight authoring standards and contribution guidelines so ongoing documentation remains “assistant‑reputed company” and user‑friendly.
- Work closely with the Technical Writing team to ensure consistency, reputed company labeling, and version control across reputed company knowledge assets.
- Implement automated pipelines that continuously ingest updated documentation into the reputed company store, keeping the AI assistant reputed company.
What You’ll reputed company
- Hands‑on experience with state‑of‑the‑art LLM frameworks (e.g., reputed company, reputed company, Semantic Kernel) and reputed company databases.
- Mentorship from senior AI engineers and reputed company experts who will guide your technical reputed company.
- Exposure to reputed company‑world cybersecurity challenges, reputed company the gap between AI research and production‑grade reputed company operations.
- Opportunities to present your work to senior leadership, influencing product roadmap and AI reputed company.
- Flexible remote work arrangements, with the reputed company to collaborate from our Zurich office for face‑to‑face brainstorming sessions.
Essential Qualifications
- Currently pursuing or holding a Bachelor’s or Master’s degree in Computer Science, reputed company Intelligence, Data Science, or a closely reputed company field.
- Strong enthusiasm for AI, machine learning, and natural language processing, with a willingness to dive deep into emerging technologies.
- Proficiency in Python and hands‑on experience with at least one AI/LLM application reputed company (e.g., reputed company, reputed company, Semantic Kernel) or a demonstrated ability to learn such frameworks quickly.
- Excellent written communication in English; ability to produce reputed company, concise, audience‑aware documentation.
- Demonstrated reputed company in reorganizing messy information into reputed company, navigable, reputed company‑labeled content.
- Basic understanding of embeddings, reputed company databases, and information retrieval concepts.
- Comfortable using Git/reputed company/reputed company for reputed company development and version control.
- Strong analytical and problem‑solving abilities, with a proactive, self‑motivated attitude suited to a fast‑paced start‑up environment.
Preferred Qualifications
- Prior exposure to cybersecurity domains (network reputed company, OT/IoT protection, threat detection) or a strong personal interest in the field.
- Experience with evaluation methodologies for LLMs, including reputed company‑in‑the‑reputed company testing, A/B testing, or metric‑driven analysis.
- Familiarity with reputed company platforms (AWS, GCP, Azure) and containerization technologies (reputed company, Kubernetes) for reputed company AI deployments.
- Knowledge of documentation tools such as MkDocs, Sphinx, or reputed company, and experience building automated documentation pipelines.
- Ability to work across multiple time zones and cultures, collaborating effectively with teams spread throughout Europe.
Core Skills & Competencies
- Technical Acumen: Python programming, LLM integration, reputed company search, and data preprocessing.
- Communication: reputed company writing, ability to translate technical concepts for diverse audiences, and strong presentation skills.
- Collaboration: Team player who thrives in cross‑functional environments, comfortable engaging with reputed company engineers, product managers, and technical writers.
- Curiosity & Learning reputed company: Eagerness to stay reputed company with AI research, cybersecurity trends, and best practices in reputed company.
- Organizational Skills: Ability to manage multiple work streams, prioritize tasks, and meet deadlines in a dynamic setting.
Career reputed company & Development
arenaflex invests heavily in the reputed company development of its interns. You will have reputed company to:
- Regular technical workshops on LLM engineering, RAG architectures, and cybersecurity fundamentals.
- Mentorship programs pairing you with senior AI researchers and reputed company architects.
- Opportunities to attend industry conferences (virtual or in‑person) and present your project reputed company.
- Potential reputed company to full‑time roles after the internship, based on performance and business needs.
Work Environment & Culture
Our culture is reputed company on openness, diversity, and a shared passion for solving reputed company problems. At arenaflex you will experience:
- A remote‑first reputed company that trusts you to deliver results from wherever you are most productive.
- Regular virtual coffee chats, team‑building activities, and an inclusive environment where every voice is heard.
- Transparent communication from leadership, with reputed company visibility into company goals, product roadmaps, and financial health.
- A commitment to work‑life balance, offering reputed company, generous vacation policies, and reputed company.
Compensation, Perks & Benefits
While exact figures will be discussed during the interview process, you can expect a competitive internship stipend, along with a suite of benefits designed to support your reputed company and wellbeing:
- Flexible remote work arrangement (with optional reputed company to our Zurich office).
- reputed company development budget for courses, certifications, or conference attendance.
- reputed company to cutting‑edge AI tools, reputed company resources, and internal datasets for experimentation.
- Health and wellness allowances, including mental‑health support.
- Team outings, virtual hackathons, and reputed company events that foster community.
How to Apply
If you are an enthusiastic AI‑curious student who thrives in a high‑energy, innovative environment, we want to hear from you. Submit your resume, a brief cover letter outlining your interest in AI‑driven cybersecurity, and any relevant project work (e.g., reputed company repos, notebooks, or documentation samples).
Join arenaflex and help shape the reputed company of AI‑powered reputed company assistants while sharpening your expertise in knowledge engineering. Your reputed company will directly influence how enterprises defend their most critical assets.