Engineering Internship AIData

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profile Job Location:

Zürich - Switzerland

profile Monthly Salary: CHF 2500 - 4000
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

About You

Youre in the final stretch of your studies (in particular graduated Masters student or close to graduation) and you want a hands-on internship where you build real AI systems that ship to production. You enjoy working with messy data writing solid code and running experiments to improve LLM-powered workflows. You learn fast take ownership and like collaborating closely with a small team.

About INC

INC (Iudex Non Calculat) is a pre-seed AI startup based in Zurich building infrastructure that automates coverage checks and case handling for legal insurance companies. Legal insurance is a 16.8B European market where every case still requires 15-45 minutes of manual review. We compress that to under 2 minutes. Were backed by a paid pilot with a Swiss insurer and a founder with 120 B2B customers at his previous AI legal tech company. We work at the intersection of LLM agent systems document understanding and domain-specific reasoning where accuracy traceability and auditability matter.

Tasks

Your Responsibilities

As an Engineering Intern AI/Data you will support the founder across data pipelines LLM agent workflows and evaluation infrastructure. Depending on your strengths youll go deeper in one area while still getting exposure to the full stack.

  • Data pipelines: Help build and improve ingestion and processing pipelines for insurance policy documents legal texts and case descriptions (parsing normalization structuring).
  • AI-ready structuring: Support chunking metadata extraction clause mapping and schema design so downstream LLM agents work reliably against complex policy wording.
  • LLM agent workflows: Prototype and implement agentic LLM workflows for coverage analysis fact extraction policy cross-referencing exclusion checking and decision drafting with attention to accuracy cost and latency.
  • Search & retrieval: Assist with indexing strategies embeddings hybrid retrieval and relevance tuning for legal and insurance content.
  • Evaluation & quality: Build eval sets from real coverage check examples run experiments analyze failure cases and help turn findings into shipped improvements.
  • Engineering fundamentals: Write clean TypeScript code add tests where appropriate and improve observability (metrics/logging) for pipelines and services.
  • Collaboration: Work closely with the founder and domain experts; document decisions and share learnings clearly.

Requirements

Qualifications

Minimum qualifications

  • Near completion of your degree: You are at the end of your studies (e.g. finished Masters program or close to graduating).
  • Degree in Computer Science Data Science Mathematics or a related field (in progress) or equivalent practical experience.
  • Solid programming skills (preferably TypeScript/).
  • Comfortable with data structures algorithms and working with real-world data (edge cases messy inputs).
  • Working knowledge of SQL (ideally PostgreSQL).
  • Interest in applied AI/ML systems (LLMs embeddings retrieval evaluation agentic workflows) and willingness to learn fast.
  • Strong ownership mindset and clear communication in English.
  • Availability full-time for the internship ideally 6 months. On-site in Zurich at least twice per week.

Preferred qualifications

  • Experience with one or more of: search systems (Azure AI Search / Elasticsearch) vector databases or embeddings.
  • Familiarity with data tooling (scraping/parsing PDF tooling OCR) and/or pipeline design.
  • Experience with Docker and CI/CD basics.
  • Familiarity with cloud platforms (especially Azure) is a plus.
  • Working proficiency in German.
  • Swiss work permit or EU/EFTA citizenship.

Benefits

Benefits

  • Direct impact: Your work ships into the product and directly improves how legal insurers process cases.
  • Learning & mentorship: Hands-on exposure to production LLM agent systems search and data pipelines in a high-ownership environment.
  • Breadth: Work across document ingestion policy parsing LLM reasoning evaluation.
  • Founder access: Work directly with the founder on architecture product and technical decisions.
  • Compensation: CHF per month depending on experience and skills.
  • Prospect of a permanent position: Possibility of full-time employment with equity (ESOP) after a successful internship.

Were excited to hear from candidates who are finishing their studies and want a high-impact engineering internship in AI. Apply today by pressing the Apply button.

About YouYoure in the final stretch of your studies (in particular graduated Masters student or close to graduation) and you want a hands-on internship where you build real AI systems that ship to production. You enjoy working with messy data writing solid code and running experiments to improve LL...
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