Agentic AI Engineer (Computer Vision)

CVEDIAComputer vision AI

Remote, anywhere; CVEDIA welcomes applicants from every background and country., Overlap with European afternoons.Contract

Salary not disclosed

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Job Details

Have built agent harnesses or agentic workflows and be able to show examples of the work.
Have experience running many agents simultaneously and handling agent communication, token use, and task-completion checks.
Have a professional software engineering background on both Windows and Linux.
Have experience using Git and an issue tracker.
Have fine-tuned or quantized open-source models, for example by training LoRAs, and run models locally.
Know the strengths and limitations of models from early GPT models to current open-source models.
Have advanced English (C1) proficiency and be able to communicate fluently in complex, fast-paced technical and professional tasks.
Object detector or computer vision classifier training experience is a plus.
Experience serving models with vLLM or SGLang is a plus.

Learn, maintain, and improve the synthetic data pipeline and automated training system.
Take over a model and improve it with an agent loop that generates its own data.
Build closed loops in which agents train detectors and classifiers, test them against validation sets, and improve them with little human input.
Design systems that flag uncertain detections and automatically address other false positives from the field.
Lead research on vision-language models, fine-tuning them for specific tasks and using agents to track new techniques.
Solve customer and partner detection and classification problems by building new models or extending existing ones.
Apply agents to QA automation and code bases that find and fix their own bugs.
Share effective approaches with the team and present results to customers when needed.

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