Senior Software Engineer, Computer Vision in United States at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Computer Vision in United States.
This is an exciting opportunity to build cutting-edge computer vision solutions that directly improve operational efficiency and patient care within the healthcare industry. In this role, you will design and optimize advanced AI-powered image processing pipelines capable of extracting structured, auditable data from complex real-world clinical environments. You’ll work at the intersection of computer vision, multimodal AI, backend engineering, and healthcare technology, helping transform fragmented supply chain workflows into intelligent, automated systems. The position offers the chance to tackle highly impactful technical challenges involving object detection, OCR, barcode decoding, and multimodal data extraction at production scale. You will collaborate with a deeply technical and mission-driven team in a fast-paced, innovation-focused environment where your contributions directly shape the platform and its future capabilities. This fully remote role is ideal for engineers passionate about AI, scalability, and building reliable systems with real-world impact.
- Design, develop, and optimize multi-stage computer vision pipelines involving object detection, segmentation, OCR, barcode decoding, multimodal LLM/LVM extraction, and data reconciliation.
- Train, fine-tune, and improve computer vision models using custom datasets, synthetic data generation, and advanced augmentation techniques.
- Build and maintain scalable backend services using asynchronous Python frameworks to support downstream operational and clinical workflows.
- Monitor pipeline accuracy and performance by implementing field-level metrics, analyzing failure modes, and continuously improving precision and recall.
- Develop auditable persistence schemas and structured data models that ensure transparency and traceability across all extraction processes.
- Collaborate cross-functionally to integrate AI-driven image analysis solutions into production systems with high reliability and operational accuracy.
- Contribute to architecture decisions, deployment strategies, and continuous improvements across AI and backend infrastructure.
- 5+ years of professional experience in computer vision, object detection, and AI-driven image processing systems.
- Strong hands-on experience training and fine-tuning deep learning models for real-world production environments.
- Expertise in Python development with strong knowledge of OpenCV, image preprocessing, augmentation, and OCR pipelines.
- Experience working with multimodal LLM/LVM APIs for structured data extraction and validation workflows.
- Solid backend engineering experience using FastAPI, Pydantic v2, PostgreSQL, and asynchronous Python development.
- Familiarity with barcode, QR code, or UDI decoding technologies and preprocessing optimization techniques.
- Experience with MLOps practices, including Docker, CI/CD pipelines, model versioning, and A/B testing, is a plus.
- Exposure to workflow orchestration tools such as Temporal, Prefect, or Airflow is beneficial.
- Healthcare, medical device, or supply chain technology experience is highly valued.
- Strong analytical thinking, problem-solving abilities, and attention to detail in high-accuracy production environments.
- Fully remote work environment with distributed teams across multiple time zones
- Competitive compensation package with incentive stock options
- Unlimited paid time off
- Comprehensive medical, dental, and vision insurance coverage
- 401(k) retirement plan
- Opportunity to work on impactful AI and healthcare technology solutions
- Collaborative engineering culture with strong technical leadership
- High-growth environment where individual contributions directly influence product direction and innovation.