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Master Thesis: Autonomous AI Agents for Product System Engineering

Ericsson AB
Ny

Sammanfattning

This master thesis opportunity focuses on developing autonomous AI agents to enhance the workflow of Product System engineers. Located in Lund, Sweden, the role involves analyzing engineering workflows, designing agent architectures, and implementing a prototype that integrates planning and reasoning capabilities. The project aims to create a benchmarking framework to evaluate the prototype against existing solutions, ultimately leading to recommendations for improving AI-enabled engineering.
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Det här erbjuder vi

Opportunity to work on innovative AI solutions in a collaborative environment.Gain practical experience in autonomous systems and engineering workflows.Contribute to meaningful projects that address real-world challenges.

Lund

Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-19

Beskrivning

Join our Team

About this opportunity:
This master thesis explores how autonomous AI agents can support Product System engineer's workflow and ways of working. Existing Kiro agents for requirements engineering, analysis, traceability, review and knowledge retrieval will provide the baseline. The thesis will design and implement agents capable of planning, reasoning, using tools and completing multi-step engineering tasks. A benchmarking framework will compare the autonomous solution with current agents in realistic scenarios. The outcome will be a working prototype, evaluation results and recommendations for future AI-enabled engineering workflows and productivity improvements.
What you will do:
You will analyse Product System engineering workflows and select relevant use cases together with senior engineers and stakeholders. You will study existing Kiro agents, design autonomous agent architectures and implement a prototype supporting planning, reasoning, tool integration and multi-step execution. You will establish a reproducible benchmarking framework and compare the prototype with existing agents using realistic engineering scenarios. Evaluation will consider accuracy, quality, efficiency, traceability, task completion rate and user experience. You will analyse results, identify limitations and improvement opportunities, document the solution, and present the prototype and recommendations to the product System team.
The skills you bring:
  • Ongoing MSc studies in Computer Science, Engineering or a related field, with strong analytical thinking and structured problem-solving skills.
  • Programming experience in Python, or a similar language.
  • Familiarity with Git, APIs, cloud tools is an advantage, but not mandatory.
  • Strong interest in AI/ML, large language models, autonomous agents and automation. Experience with LLMs or agent frameworks is an advantage.
  • Ability to collaborate, communicate and document technical work clearly.
  • Knowledge of system engineering, product development, tel


Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Sweden (SE) || Lund

Req ID: 791059

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Master Thesis: Autonomous AI Agents for Product System Engineering

Ny
Denna arbetsplats har annonserats på Ericsson-tjänsten den 2026-09-19 och publicerades av Ericsson.
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