Master Thesis: Verifiable Reward RL (RLVR) for Multilingual Agentic Tool & Function Calling

As Sweden's national center for applied AI, we're on a mission to accelerate the use of AI to benefit our society, our

competitiveness, and everyone living in Sweden. We drive impactful initiatives in areas such as healthcare, energy, and public

services while pushing the boundaries of AI research in fields such as natural language processing, machine learning and AI

security. Join us in harnessing the untapped value of AI to drive innovation and create sustainable value for Sweden.

For LLMs to serve effectively in public administration and enterprise workflows, they must accurately invoke external APIs and

structured tools (Function Calling)[cite: 10, 14]. While SFT provides basic tool-use syntax, Reinforcement Learning with

Verifiable Rewards (RLVR) is required to optimize multi-step agentic trajectories and error recovery.

• This thesis asks: Does RLVR training on tool-execution environments (e.g., Tau-Bench, BFCL) significantly improve multi-step

function-calling accuracy and schema adherence in Swedish and English compared to SFT alone?

• Evaluation: Benchmark tool-calling precision, schema validity, and Model FLOPs Utilization (MFU) across single-turn and

multi-turn administrative workflow.

We are seeking curious, self-driven MSc students eager to work at the frontier of open-weight European AI research (LLMs). You

thrive on empirical discovery, design rigorous experiments, and let data challenge your assumptions.

• Ongoing Master’s studies in Computer Science, Data Science, Machine Learning, Engineering Physics, or a related quantitative

field.

• Familiarity with LLM post-training alignment (e.g., SFT, DPO, RLHF/RLVR) or context-extension, alongside comfort running

distributed GPU training in Linux/HPC environments.

At AI Sweden, we are committed to building diverse and inclusive teams. Some positions may be subject to export control

regulations, which means that specific requirements may apply.

Doing your thesis at AI Sweden means working alongside leading AI scientists and change leaders. AI Sweden is Sweden’s National

Center for AI, we drive research questions that have both a long shelf-life and are widely applicable to Swedish industry and the

public sector. We aim for publications at the most competitive venues and celebrate a culture of research excellence.

As an organization, we’re uniquely positioned at the sweet spot of governmental influence and startup agility. Small enough to

stay adaptive and have fun but backed by and in close contact with both the government, academia and private and public sector.

Practical details

Location: Hybrid (Gothenburg / Stockholm) or Remote.

Application Deadline: 2026-11-20 (rolling selection – position may be filled earlier).

Start Date: January 2027

Birger Moëll, Senior Research Scientist

Niclas Hertzberg, AI Engineer

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or manning companies.