Software Engineer (AI-Driven Billing Automation)

As we scale, our billing operations have grown more complex, spanning multiple healthcare vendors and increasingly complex workflows.

We are hiring a Software Engineer dedicated to optimizing and automating Artera’s billing workflow end‐to‐end.

This engineer will design, build, and continuously improve an AI-driven pipeline that orchestrates our billing processes, integrates with our healthcare vendors, and reduces manual effort across the revenue cycle.

The role blends hands‐on Salesforce development, AI-model fine-tuning, vendor integration work, and modern AI‐assisted engineering to deliver durable, self‐improving billing pipeline

As we scale, our billing operations have grown more complex, spanning multiple healthcare vendors and increasingly complex workflows.

We are hiring a Software Engineer dedicated to optimizing and automating Artera’s billing workflow end‐to‐end.

This engineer will design, build, and continuously improve an AI-driven pipeline that orchestrates our billing processes, integrates with our healthcare vendors, and reduces manual effort across the revenue cycle.

The role blends hands‐on Salesforce development, AI-model fine-tuning, vendor integration work, and modern AI‐assisted engineering to deliver durable, self‐improving billing pipeline

• Design, build, and maintain automated billing workflows in Salesforce, including Apex, Flow, Lightning Web Components, and platform integrations.
• Architect and operate a continuously learning Salesforce-initiated AI-driven pipeline, that takes diagnostic test information as input and routes the order through our revenue lifecycle, relying on human intervention, partner APIs, and external systems, as needed.
• Translate billing requirements from Finance, Revenue Operations, and Customer Success into well‐scoped engineering deliverables with clear SLAs, observability, and rollback paths.
• Fine-tune document extraction AI models with support from Arteras AI team
• Use AI Code-gen and other AI‐assisted development tools to accelerate delivery, generating, reviewing, and refactoring Salesforce and Python code.
• Instrument the billing pipeline with monitoring, alerting, and audit trails so that failures, anomalies, and drift are caught early and resolved without manual triage where possible.
• Continuously evaluate pipeline performance and incorporate feedback loops (rules, heuristics, and lightweight ML where appropriate) so the system gets more accurate and more autonomous over time.