Agentic AI Engineer (Computer Vision)

CVEDIA builds computer vision models and applications that run in real time on server and edge hardware around the world. We train our models on synthetic data, and much of our model work already runs through AI agents. We have made the full move to this way of working across the whole company, and we are looking for people who want to help push it further.

This job requires Advanced English (C1) proficiency, with the ability to communicate fluently and handle complex, fast-paced technical and professional tasks.

The Role

We are looking for an engineer to design and build the agentic systems that generate our synthetic data, train our detectors and classifiers, and iteratively improve them: closed-loop pipelines where agents generate data, train models, evaluate results, and decide what to generate next.

This role sits at the intersection of agents, computer vision training, and performance engineering. You will not just use AI tools to write code faster. A large part of the work is building the agents themselves. Our agents are how we work now: everyone here builds with them daily, and you will too.

What You Will Do

- Design, build and operate agentic systems, such as multi-agent pipelines, tool-using agents, and evaluation loops, that generate synthetic data at scale and train computer vision models end to end

- Fine-tune vision-language models as part of these pipelines, including data preparation, training, evaluation and iteration

- Write the production code these systems run on: Python services, training pipelines, and agent orchestration, with C++ where…