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Thesis: Hybrid agentic workflow analysis

Knightec Group AB

Sammanfattning

This thesis position focuses on investigating a hybrid approach to agentic development, specifically exploring the collaboration between local and cloud-based large language models (LLMs). The research aims to propose solutions for optimizing cloud costs and capacity by utilizing smaller models for delegated tasks. The position is based in Sundsvall, with a start date in January or March 2027, and requires fluency in both Swedish and English.
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Det här erbjuder vi

Opportunity to conduct research in a cutting-edge field.Collaboration with a leading strategic partner in product and digital service development.Practical experience in a professional setting.

De nordiska länderna

Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-15

Beskrivning

High Level Description
Agentic coding is becoming more of a standard in the developer industry. With the usage of AI services such as OpenAI's ChatGPT and Anthropic's Claude usage limits are getting tightened.

Modern laptops are getting more capable of running local open-source models and possibility of delegating simpler tasks to save on cloud cost is becoming a desirable solution.

This thesis aims to investigate a hybrid solution of local and cloud LLM models working together to both offload cloud capacity but also cloud costs of running larger LLM models.

Project Description
In this Thesis, investigate a hybrid approach to agentic development. The investigation should propose a solution in an Agentic harness, eg. OpenCode where a larger LLM can oversee and delegate tasks such as exploring or implementations to smaller local models.


Who are we looking for?

  • Bachelor/Master of Science in Computer Science/Engineering
  • Graduation in June 2027
  • Fluency in Swedish, both written and spoken
  • Fluency in English, both written and spoken


Purpose
In this Thesis, investigate a hybrid approach to agentic development. The investigation should propose a solution in an Agentic harness, eg. OpenCode where a larger LLM can oversee and delegate tasks such as exploring or implementations to smaller local models.

In this thesis, investigate these questions:
  • Is smaller LLM models capable of handling delegated tasks from larger LLM
  • What hardware requirements would a developer need to run this form of workflow
  • How complex is the setup?


  • Do we need specific agent harness to do this?

  • Do we need specific system prompts to handle this?

    References
  • OpenCode: https://opencode.ai/
  • Nvidia Spark: https://www.nvidia.com/sv-se/products/rtx-spark/
  • Llama CPP: https://github.com/ggml-org/llama.cpp

    An Exciting Journey with Knightec Group
    Semcon and Knightec have joined forces as Knightec Group. Together, we are Northern Europe's leading strategic partner in product and digital service development. With a unique combination of cross-functional expertise and a holistic business understanding, we help our clients realize their strategies - from idea to complete solution.


Practical Information
This is a thesis position, located at our office in Sundsvall . Start date January or March 2027.

Please submit your application as soon as possible, but no later than 2026-11-30 . If you have any questions, you are welcome to contact johanna.edstrom@knightec.se . Note that due to GDPR, we only accept applications through our careers page.

Ansök till tjänsten

Thesis: Hybrid agentic workflow analysis

Denna arbetsplats har annonserats på Knightec Group SWE (former Semcon)-tjänsten den 2026-10-15 och publicerades av Knightec Group SWE (former Semcon).
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