Master Thesis: Autonomous AI Agents for Product System Engineering
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence
In short
Master thesis on autonomous AI agents for Product System engineering. The project involves designing and implementing AI agents capable of planning, reasoning, and completing multi-step engineering tasks, using existing Kiro agents as a baseline. The outcome includes a working prototype, evaluation results, and recommendations for future AI-enabled workflows.
Responsibilities
- Analyze Product System engineering workflows and select relevant use cases.
- Design autonomous agent architectures and implement a prototype.
- Establish a reproducible benchmarking framework and compare the prototype with existing agents.
- Evaluate accuracy, quality, efficiency, traceability, task completion rate, and user experience.
- Document the solution and present findings and recommendations.
Requirements
- Ongoing MSc studies in Computer Science, Engineering, or a related field.
- Strong analytical thinking and structured problem-solving skills.
- Programming experience in Python or a similar language.
- Strong interest in AI/ML, large language models, autonomous agents, and automation.
- Ability to collaborate, communicate, and document technical work clearly.
Desired Qualifications
- Familiarity with Git, APIs, cloud tools is an advantage.
- Experience with LLMs or agent frameworks is an advantage.
- Knowledge of system engineering, product development, telecommunications (implied by context).
Benefits
- Outstanding opportunity to use your skills and imagination to push boundaries.
- Work on solutions to challenging problems.
- Be part of a diverse team of innovators.
#AI#Machine Learning#Autonomous Agents#Product System Engineering
Company
Ericsson
Job Posted
3 days ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Entry
Locations
Lund, Sweden
Qualification
Master
Applicants
Be an early applicant