Software Engineer (AI-Driven Billing Automation)

Artera

About The Position

Artera is an AI startup focused on personalizing therapy for cancer patients through AI-driven medical tests. As the company scales, its billing operations have become more complex, involving multiple healthcare vendors and intricate workflows. This role is for a Software Engineer dedicated to optimizing and automating Artera's end-to-end billing workflow. The engineer will design, build, and continuously improve an AI-driven pipeline to manage billing processes, integrate with healthcare vendors, and minimize manual effort in the revenue cycle. The position involves hands-on Salesforce development, AI model fine-tuning, vendor integration, and utilizing modern AI-assisted engineering practices for a robust and self-improving billing pipeline.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
2+ years of professional software engineering experience shipping and operating production systems.
Hands-on Salesforce development experience is required, including Apex, Flow / Process Builder, Lightning Web Components, SOQL/SOSL, and Salesforce REST/SOAP APIs.
Demonstrated experience developing tools using Claude Code is required, for example, building internal automations, integration scaffolding, code generation pipelines, or developer tooling with Claude Code in a real project.
Strong proficiency in Python.
Experience with version control (Git), CI/CD pipelines, automated testing, and modern Salesforce DX tooling.
Comfort designing systems for observability — logging, metrics, alerting, and end-to-end traceability of billing transactions.
Strong written and verbal communication skills; able to work directly with Finance, Revenue Operations, and external vendor counterparts.

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.
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 Artera's 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.