
AI Engineer, Computer Vision
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants anywhere in the world.
• Acquire knowledge, maintain, and enhance the synthetic data pipeline and automated training system.
• Assume responsibility for a model and enhance it using an agent loop that generates its own data.
• Develop closed loops where agents train detectors and classifiers, validate them against test sets, and refine them with minimal human intervention.
• Create systems that manage field false positives, flag uncertain detections, and automatically correct the rest.
• Spearhead research on vision-language models, fine-tune them for specific applications, and utilize agents to monitor current methodologies.
• Address detection and classification challenges for clients and partners by constructing new models or expanding existing ones.
• Implement agents for QA automation and codebases that autonomously identify and resolve their own bugs.
• Disseminate effective methods among the team and present findings to clients as necessary.
• Proficient in advanced English (C1), capable of communicating fluently and managing complex, fast-paced technical and professional tasks.
• Proven experience in designing personal agent harnesses or agentic workflows, with verifiable work examples.
• Familiarity with operating multiple agents concurrently, including managing inter-agent communication, token utilization, and task completion verification.
• Professional experience in software engineering on both Windows and Linux platforms.
• Proficient in using Git and an issue tracking system.
• Experience in fine-tuning or quantizing open-source models, such as training LoRAs.
• Adept at running open-source models locally.
• Understanding of the model landscape from early GPT models to the latest open-source models, including their advantages and limitations.
• Effective communication with team members and clients.
• Enthusiasm for AI and agents, with a readiness to experiment with new tools and concepts.
• Submission of resume/CV in English only.
• Welcoming applications from individuals of all backgrounds and countries.
• Fully remote working environment.
• Daily access to Claude, Codex, and self-hosted models without limits on their application in work.
• Opportunity to work on models that are already deployed in production on edge devices globally.
• Direct collaboration with the entire team and influence over company-wide AI workflows.
• Collaboration with colleagues who share interests in agent behavior, harness design, and model intricacies.
Cardinal Health
Lyra Health
Lyra Health
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