Senior Software Engineer, Computer Vision

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 role focuses on building and scaling production-grade computer vision systems that extract structured, reliable data from complex clinical images used in real-world healthcare environments. You will work on high-impact pipelines that combine image processing, multimodal AI APIs, and backend engineering to deliver accurate, auditable outputs that directly support clinical and operational workflows. The environment is highly technical and product-driven, with a strong emphasis on reliability, safety, and system correctness over experimental model training. You will own end-to-end CV pipelines, improving accuracy and robustness under challenging conditions such as variable image quality and constrained operational contexts. This is a hands-on engineering role where your work directly influences data quality used in healthcare decision-making. You will collaborate with experienced engineers in a distributed, remote-first team focused on building production systems that matter.

Accountabilities

• Design, build, and improve multi-stage computer vision pipelines combining object detection, multimodal LLM extraction, and structured data reconciliation for clinical imaging use cases.
• Own pipeline accuracy by defining metrics, diagnosing failure modes, and improving system performance through preprocessing, prompt engineering, and decoding strategies.
• Develop and maintain structured prompting frameworks for multimodal models, including schema-driven extraction, confidence calibration, and ambiguity handling.
• Build and optimize Python backend services that deliver CV pipeline outputs to downstream clinical and operational systems.
• Design data models and persistence layers that ensure traceability, auditability, and reproducibility of extracted results.
• Implement robust async backend systems using modern Python frameworks to support scalable and reliable processing workflows.
• Continuously improve system resilience, ensuring outputs remain reliable even when individual pipeline components fail.
  
  

Requirements

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• 5+ years of experience building production backend or AI-driven systems, with strong exposure to computer vision or multimodal pipelines.
• Proven experience working with multimodal LLM APIs in production environments, including structured prompting, schema validation, and fallback handling.
• Strong Python engineering skills, with experience in FastAPI, Pydantic v2, async programming, and PostgreSQL.
• Hands-on experience with image preprocessing techniques such as normalization, thresholding, resizing, and rotation correction.
• Familiarity with barcode/QR decoding or similar machine-readable data extraction techniques.
• Strong understanding of building reliable, production-grade systems with emphasis on observability, traceability, and fault tolerance.
• Ability to work independently in a fast-paced environment while collaborating effectively with distributed engineering teams.
  
  

Benefits

• Incentive stock options aligned with compensation
• Fully remote-first environment across global time zones

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• Unlimited paid time off
• Comprehensive health, dental, and vision insurance
• Opportunity to work on high-impact systems used in healthcare environments
• Strong engineering culture with emphasis on ownership and technical excellence
• Chance to shape core product architecture at an early and fast-growing stage
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.