Medical Coding - Coding AI Assist (SME / Product Enablement)

About Contiinex Contiinex is a Bengaluru-headquartered technology company developing AI-powered solutions for the US healthcare Revenue Cycle Management (RCM) industry. Our solutions support and automate workflows across patient access, eligibility, prior authorization, medical coding, claims, denials, AR follow-up and collections. We work to convert real RCM operational expertise into practical, auditable software for healthcare providers and RCM service organizations. The Opportunity: Build Coding AI Assist We are hiring an experienced US Medical Coding Trainer to serve as the primary coding-domain expert for the design, development, training and validation of Contiinex Coding AI Assist. This is not a routine classroom-training or production-coding position. You will convert real-world coding judgment into detailed specialty scenarios, coding rules, reference decisions, workflows and test cases that software engineers and AI teams can implement and evaluate. The long-term product objective is to progress from coding assistance and human-reviewed recommendations toward safe, measurable autonomous coding for explicitly approved use cases. Coding decisions must remain grounded in complete documentation, applicable code-set versions, payer rules and appropriate human oversight. No programming or machine-learning experience is required. Requirements Key Responsibilities Coding Knowledge to Engineering Requirements Own the coding-domain requirements for Coding AI Assist: describe input documents, clinical facts to extract, outputs, decision steps, exceptions, evidence, confidence or uncertainty, and when the system must defer to a human coder. Prepare step-by-step specialty coding workflows covering chart review, diagnosis selection and sequencing, procedure selection, E/M assignment, modifier application, medical necessity, claim edits and required documentation. Build a structured scenario library that includes routine, complex, ambiguous, incomplete, conflicting and rare cases; multiple diagnoses and procedures; post-operative care; global periods; add-on codes; exclusions; and coding changes over time. Write understandable rule specifications and decision trees for engineers, including trigger conditions, required documentation, exact expected coding decision, rationale, references, version and date applicability, exceptions and test acceptance criteria. Create de-identified or properly authorized example charts and synthetic scenarios with gold-standard coded answers; coordinate independent review and adjudicate disagreements with documented reasoning. Work directly with product managers, engineers, data and AI specialists and QA teams in requirement workshops, sprint reviews and defect triage. Explain clinical and coding concepts without assuming technical coding knowledge. Define which decisions are safe to automate, which require provider clarification or a compliant non-leading query, and which require specialist review…