Full-Stack AI / LLM Engineer- Healthcare RCM

Full-Stack AI Engineer Healthcare RCM Location: New Delhi, India Workplace Type: Hybrid Employment Type: Full-time Company: Cosentus LLC About the RoleCosentus is hiring a Full-Stack AI Engineer with mandatory healthcare Revenue Cycle Management experience. You will build and improve production-grade AI applications across medical coding, eligibility verification, claim submission, claim-status tracking, denial management, EOB/ERA processing, payer follow-up and revenue-cycle analytics. Our platforms work across core RCM workflows including CPT/ICD coding, charge entry, X12 837 claim submission, payer adjudication, EOB extraction and denial categorization. This is not a general-purpose AI role. Candidates must understand how healthcare claims and payer workflows operate. Key ResponsibilitiesDesign and develop full-stack applications for healthcare RCM workflows.Build AI and LLM-based systems for:Medical codingEligibility verificationClaim-status follow-upDenial identification and root-cause analysisEOB and ERA extractionPayment and underpayment analysisAppeals and revenue-recovery workflowsProcess and normalize healthcare data including:X12 837 claimsX12 835 remittancesERA and EOB documentsCPT, ICD-10, CARC and RARC codesBuild APIs, backend services, databases and responsive user interfaces.Integrate with payer portals, clearinghouses, EHRs, practice-management systems and third-party healthcare APIs.Develop LLM workflows using prompt engineering, RAG, structured outputs, tool calling and AI agents.Build OCR and document-processing pipelines for clinical notes, EOBs and supporting documentation.Implement confidence scoring, validation rules, human review and continuous feedback loops. Cosentus workflows use confidence-based automation, structured financial extraction and human review for lower-confidence results.Monitor accuracy, latency, reliability and cost of AI workflows.Ensure systems are secure, scalable and suitable for handling protected healthcare information.Mandatory RequirementsPrevious hands-on experience in US healthcare Revenue Cycle Management is mandatory.Strong understanding of the end-to-end revenue cycle, including:Patient eligibilityMedical codingCharge entryClaims submissionPayer adjudicationPayment postingDenialsAppealsAccounts receivable follow-upExperience working with 835, 837, ERA, EOB, CPT, ICD-10, CARC and RARC data.Strong full-stack development experience using technologies such as:TypeScript and JavaScriptReact and Next.jsNode.js and/or PythonFastAPI or similar backend frameworksPostgreSQL and SQLREST APIs and webhooksPractical experience building applications with LLMs, AI agents, RAG or document extraction.Experience integrating external APIs and debugging complex production workflows.Strong understanding of data validation, exception handling and auditability.Preferred QualificationsExperience with AWS, Bedrock, OpenAI, Anthropic or similar AI platforms.Experience with healthcare clearinghouses or payer systems such as Availity, Change Healthcare or Optum.Familiarity with medical coding automation, claim-status automation or denial analytics.Experience with OCR, voice AI, workflow automation or RPA.Understanding of HIPAA, PHI handling, encryption and healthcare data-security requirements.Experience building human-in-the-loop AI systems.Important Screening RequirementApplications without direct healthcare RCM experience will not be considered. Candidates should clearly mention the RCM workflows, payer integrations, claims data or healthcare platforms they have previously worked with Full-Stack AI Engineer Healthcare RCM Location: New Delhi, India Workplace Type: Hybrid Employment Type: Full-time Company: Cosentus LLC About the RoleCosentus is hiring a Full-Stack AI Engineer with mandatory healthcare Revenue Cycle Management experience. You will build and improve production-grade AI applications across medical coding, eligibility verification, claim submission, claim-status tracking, denial management, EOB/ERA processing, payer follow-up and revenue-cycle analytics. Our platforms work across core RCM workflows including CPT/ICD coding, charge entry, X12 837 claim submission, payer adjudication, EOB extraction and denial categorization. This is not a general-purpose AI role. Candidates must understand how healthcare claims and payer workflows operate. Key ResponsibilitiesDesign and develop full-stack applications for healthcare RCM workflows.Build AI and LLM-based systems for:Medical codingEligibility verificationClaim-status follow-upDenial identification and root-cause analysisEOB and ERA extractionPayment and underpayment analysisAppeals and revenue-recovery workflowsProcess and normalize healthcare data including:X12 837 claimsX12 835 remittancesERA and EOB documentsCPT, ICD-10, CARC and RARC codesBuild APIs, backend services, databases and responsive user interfaces.Integrate with payer portals, clearinghouses, EHRs, practice-management system