Software Engineer (AI-Driven Billing Automation)
šŗšø United States
Python
AWS
Git
Finance
Salesforce
Machine Learning
Design
Devops
Customer Support
Testing
$120,000 - $180,000
Software Engineer (AI-Driven Billing Automation)
from šŗšø United States
$120,000 - $180,000
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 Arteraās billing workflow endātoāend. 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 handsāon Salesforce development, AI-model fine-tuning, vendor integration work, and modern AIāassisted engineering to deliver durable, selfāimproving billing pipeline.
Essential Responsibilities:
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.Ā
Translate billing requirements from Finance, Revenue Operations, and Customer Success into wellāscoped engineering deliverables with clear SLAs, observability, and rollback paths.
Fine-tune document extraction AI models with support from Arteras AI teamĀ
Use AI Code-gen and other AIāassisted 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.
Experience Requirements:
Bachelorās degree in Computer Science, Software Engineering, or equivalent practical experience.
2+ years of professional software engineering experience shipping and operating production systems.
Demonstrated experience building using AI APIs (such as Claude, OpenAI, Gemini) is required, for example, building workflows to OCR PDFs, internal automations, or integration scaffolding
Strong proficiency in Python
Experience with version control (Git), CI/CD pipelines, automated testing
Comfort designing systems for observability ā logging, metrics, alerting, and endātoāend traceability of billing transactions.
Strong written and verbal communication skills; able to work directly with Finance, Revenue Operations, and external vendor counterparts.
Handsāon Salesforce development experience is preferred, including Apex, Flow / Process Builder, Lightning Web Components, SOQL/SOSL, and Salesforce REST/SOAP APIs.
Here are few posts from our teammates, partners and customer voices to highlight the work we do:
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