Senior/Staff/Principal Software Engineer - Python

Job description

**About Us:** Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale. 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. ### 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. - 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. ### Experience 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. - 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 — 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. - Hands‐on 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: - [Artera Shapes the Future of Cancer Treatment Using Machine Learning on AWS](https://aws.amazon.com/pt/solutions/case-studies/artera-case-study/) - [How Artera AI test allowed Bruno to avoid hormone therapy](https://www.medscape.com/viewarticle/cms-okays-payment-novel-ai-prostate-test-2024a10000u6) - [Startups are using AI to predict responses to Cancer Drugs](https://www.wsj.com/articles/startups-are-using-ai-to-predict-responses-to-cancer-drugs-d7fb06eb) - [ArteraAI validates its Prognostic Model in Advanced Prostate Cancer](https://apnews.com/press-release/business-wire/prostate-cancer-medical-research-united-kingdom-41d540a7fc1e4512b4a9c1cb2d69e5e7) - [How Artera Enhances Prostate Cancer Diagnostics Using AWS](https://aws.amazon.com/blogs/architecture/how-artera-enhances-prostate-cancer-diagnostics-using-aws/)