Senior Software Engineer, Computer Vision

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

• 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

• 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.
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