Full-Stack AI / LLM Engineer- Healthcare RCM

Location: New Delhi, India

Workplace Type: Hybrid

Employment Type: Full-time

Company: Cosentus LLC

Cosentus 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.

• Design and develop full-stack applications for healthcare RCM workflows.
• Build AI and LLM-based systems for:
• Medical coding
• Eligibility verification
• Claim-status follow-up
• Denial identification and root-cause analysis
• EOB and ERA extraction
• Payment and underpayment analysis
• Appeals and revenue-recovery workflows
• Process and normalize healthcare data including:
• X12 837 claims
• X12 835 remittances
• ERA and EOB documents
• CPT, ICD-10, CARC and RARC codes
• Build 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.

• Previous hands-on experience in US healthcare Revenue Cycle Management is mandatory.
• Strong understanding of the end-to-end revenue cycle, including:
• Patient eligibility
• Medical coding
• Charge entry
• Claims submission
• Payer adjudication
• Payment posting
• Denials
• Appeals
• Accounts receivable follow-up
• Experience working with 835, 837, ERA, EOB, CPT, ICD-10, CARC and RARC data.
• Strong full-stack development experience using technologies such as:
• TypeScript and JavaScript
• React and Next.js
• Node.js and/or Python
• FastAPI or similar backend frameworks
• PostgreSQL and SQL
• REST APIs and webhooks
• Practical 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.

• Experience 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.

Applications 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