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Arc Exclusive
Arc Exclusive

C++/Qt Developer with Python AI Experience

Location

Remote restrictions apply
See all remote locations

Hourly rate

Hourly rate

Min. experience

5+ years

Hours per week

25 hours

Duration

52 weeks

Required skills

PythonC++Fastapi

Freelance job
Posted 2 hours ago
Apply now
Actively recruiting / 4 applicants

We’re here to help you

Sole is in direct contact with the company and can answer any questions you may have. Email

SoleSole, Recruiter
ⓘ View potential timezone restrictions

Role Overview We are looking for a senior C++/Qt engineer with hands-on Python AI experience to build desktop and industrial device applications with embedded LLM capabilities. You will own the AI layer — from model fine-tuning to deployment — and expose outputs via FastAPI so our web frontend team can integrate seamlessly. This is a long-term remote collaboration with EU/DACH timezone preference.

Responsibilities

  • Design and develop desktop and industrial device applications in C++17 using the Qt framework.
  • Fine-tune and embed LLM models (LoRA/QLoRA, llama.cpp, Hugging Face) directly into applications — including offline/edge deployments.
  • Build and maintain FastAPI microservices as the bridge between AI outputs and our Laravel/Livewire web frontend.
  • Propose and select the right model architecture for each client use-case (open-source vs. API vs. custom trained).
  • Troubleshoot performance and integration issues across the full C++/Python stack.

Required Skills

  • Senior-level C++ (C++14/17) and Qt framework — desktop and/or industrial SW background.
  • Python with PyTorch and Hugging Face Transformers for LLM fine-tuning and inference.
  • FastAPI for building production REST microservices.
  • Experience with LoRA/QLoRA fine-tuning or local model deployment (llama.cpp, GGUF).
  • Ability to work independently and deliver without close supervision.

Nice to Have

  • Experience with embedded or edge AI deployments on industrial hardware.
  • Familiarity with OPC-UA, Modbus or similar industrial protocols.
  • Knowledge of Docker and GPU server setup for model training.
  • EU/DACH timezone — CET ±2 h preferred.

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