Information Systems Specialist

HelsinkiCompetitive0 applicants

About this role

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of

INFORMATION SYSTEMS SPECIALIST

for a fixed-term appointment from 11 May, 2026 to 31 March, 2027, or as agreed.

We seek an information systems specialist / applied research engineer to join the ReliaCode project at the University of Helsinki. Our aim is to make LLMs usable in organisational settings with high reliability requirements, especially for reasoning about complex document collections. We're building methods to make it easier to tell when LLM outputs can't be trusted, and to improve systems efficiently from limited human feedback.

The work is part of an early-stage initiative based in a university environment, with secured funding and a strong focus on real-world impact through pilot collaborations with organizations. The goal is to iteratively develop a product that could evolve either into a general-purpose platform for unstructured data processing or a focused solution in a specific domain.

This role offers a unique opportunity to work at the intersection of research and product, and to help shape the technical direction of a potential startup from the ground up. We are offering a year-long full-time contract with the possibility of continuing afterwards in a potential spin-out company.

We are particularly looking for candidates with:

Strong Python and software engineering skills

Hands-on experience using LLMs in applications, especially with multiple model calls and high reliability requirements

Experience evaluating LLM systems, including designing benchmarks and using evaluation signals to identify failures and improve system performance

Familiarity with practical ML approaches for ranking or classification with noisy or limited signals

Comfort working independently in an early-stage project and taking ownership of open-ended problems

The following are seen as advanteges but not necessary:

Experience working with unstructured data

Responsibilities

  • Strong Python and software engineering skills
  • Hands-on experience using LLMs in applications, especially with multiple model calls and high reliability requirements
  • Experience evaluating LLM systems, including designing benchmarks and using evaluation signals to identify failures and improve system performance

Requirements

  • Familiarity with practical ML approaches for ranking or classification with noisy or limited signals
  • Comfort working independently in an early-stage project and taking ownership of open-ended problems
  • Experience working with unstructured data

EU Requirements

Job Details

Posted7 April 2026
Closes7 May 2026

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