clarium - Senior Software Engineer, Computer Vision
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Requirements
• Production experience building systems on top of multimodal LLM APIs — effective structured-output prompts, schema validation, retry handling, and fallback design • Comfort with image preprocessing techniques: contrast normalization, thresholding, rotation, compression • Experience with machine-readable code decoding (1D/2D barcodes, QR codes, or similar) and the preprocessing strategies that improve success rates • Strong async Python: FastAPI, Pydantic v2, asyncpg, PostgreSQL • Reliability-first mindset — you build pipelines that produce auditable output even when individual stages fail • Experience with open-vocabulary or zero-shot object detection as a pipeline component • OCR or document understanding pipelines applied to structured data extraction • Durable workflow orchestration experience (Temporal, Prefect, Airflow, or similar) • Need to Know: Python · FastAPI · Pydantic v2 · PostgreSQL · Multimodal LLM APIs · Image preprocessing · Barcode / QR decoding • Nice to Know: Zero-shot object detection · OCR pipelines · Temporal · Prefect · Airflow • WHAT YOU GET AT CLARIUM • Incentive Stock Options proportionate to your salary • Fully remote — we're a distributed team across multiple time zones • Unlimited PTO • Top-tier health, vision, and dental benefits
Responsibilities
• Build and improve multi-stage CV pipelines spanning object detection, multimodal LLM extraction, machine-readable code decoding, and multi-source reconciliation • Own pipeline accuracy — instrument field-level metrics, diagnose failure modes, and drive improvements through prompt engineering, preprocessing strategy, and reconciliation logic • Write and maintain structured prompting protocols for multimodal models, including systematic extraction sequences, confidence calibration, and graceful handling of ambiguous inputs • Design persistence schemas and audit data models that make every extraction independently reviewable • Maintain and extend the async Python backend services that surface pipeline results to downstream clinical workflows
Benefits
• The healthcare industry overspends on its supply chain by over $25B each year — the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, Cleveland Clinic, and Kaiser Permanente. • Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.
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