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Hiring for GenAI & LLM/AI Integration & Automation Engineer for leading healthcare organization in South Delhi Job Title: LLM/AI Integration & Automation Engineer No. of Vacancy: One Location: South Delhi Experience Required: 5+ Years CTC Offered: 15 - 25 LPA Qualification: B.Tech / BE / M.tech / MCA or equivalent Employment Type: Full-Time Working Days: 5 Days a week Role Summary Integrate large language models into existing application ecosystem Dynamics 365 CRM, SAP HANA ERP, Laravel web platform, and Alfresco DMS. Build n8n automation workflows, MCP connectors, and API integrations to unlock AI-powered clinical workflows , patient engagement, and operational efficiency. Own the full stack from API design through production deployment and monitoring. Tech Stack: Claude/Anthropic LLMs, n8n, MCP, Dynamics 365, SAP HANA, Laravel, Alfresco, Docker, PostgreSQL, Redis. Key Responsibilities LLM Integration (35%) Integrate Claude/Anthropic LLMs into Laravel web application and mobile APIs Build API wrappers for LLM access prompt caching, token optimization, fallback handling Deploy multimodal LLM capabilities (text + image) for diagnostic AI integration Implement RAG (Retrieval-Augmented Generation) pipelines connected to patient records and clinical databases Handle multilingual patient interactions (Hindi, English) with cultural/clinical context Monitor LLM quality, cost, and latency in production MCP Connector Development (25%) Design and implement MCP (Model Context Protocol) connectors for external services Connect Dynamics 365 CRM as MCP service LLMs can query leads, appointments, patient interactions Connect SAP HANA as MCP service LLMs can query financial data, inventory, operations Connect Alfresco DMS as MCP service LLMs can search and retrieve patient documents, imaging reports Build custom MCP connectors for third-party APIs (SMS providers, payment gateways, lab systems) Ensure MCP security authentication, rate limiting, data governance n8n Automation Workflows (25%) Design and deploy n8n workflows for clinical and operational processes Build multi-step workflows: patient inquiry LLM processing CRM update notification Integrate n8n with Dynamics 365, SAP HANA, and custom APIs Develop custom n8n nodes for specific business logic Deploy n8n in Docker/Kubernetes with monitoring and error handling Build audit trails and data logging into workflows for governance and compliance Monitoring, Security & Documentation (15%) Set up monitoring for LLM quality latency, accuracy, cost per query Implement security: API keys, prompt injection prevention, PII data masking Document all integrations, APIs, and deployment procedures Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent Advanced degree (Master's) in ML, AI, or related field (preferred) Relevant certifications (Anthropic Claude, AWS ML, Kubernetes, Docker) preferred Professional Experience Minimum 5 years professional experience in software engineering or AI/ML development Minimum 3 years hands-on experience building and shipping LLM applications in production Minimum 2 years experience with MCP (Model Context Protocol) or equivalent integration frameworks Minimum 2 years hands-on experience with n8n, Zapier, Make, or equivalent automation platforms Proven track record of successful enterprise API integrations (REST, gRPC, webhooks) Core Competencies Technical Competencies LLM Integration Expert (3+ yrs) Shipped production apps, GitHub portfolio, references MCP Connector Dev Advanced (2+ yrs) MCP architecture walkthrough, live design session n8n Automation Advanced (2+ yrs) Custom nodes, production workflows, custom code in n8n RPA Tools Intermediate+ (preferred) UiPath, Automation Anywhere, Blue Prism, or similar platforms Backend API Dev Expert (3+ yrs) REST API design, error handling, rate limiting, code review Enterprise Integration Intermediate/Advanced Dynamics 365 or SAP HANA prior integration projects Containerization Intermediate+ Docker & Kubernetes, production deployment experience Security & Data Logging Intermediate+ API security, PII masking, audit trails, encryption, data logging Behavioral & Soft Competencies Technical Leadership Ability to make architectural decisions, communicate trade-offs, and guide implementation Problem Solving Logical approach to debugging complex integration issues, root cause analysis Communication Clear documentation, ability to explain technical concepts to non-technical stakeholders Ownership Takes end-to-end responsibility for deliverables, proactive about edge cases and monitoring Collaboration Works effectively with internal teams (product, data science, infrastructure) Adaptability Comfortable with emerging technologies, continuous learning mindset Required Skills (Mandatory) LLM Integration & Prompt Engineering API integration: REST calls to LLM endpoints, token management, cost optimization Prompt engineering, few-shot examples, temperature/top-p tuning Error handling and fallback strategies for LLM failures MCP Connectors (MANDATORY) Model Context Protocol architecture and connector development Tool composition, schema design, JSON specifications Security: authentication, rate limiting, data validation n8n Automation (MANDATORY) Workflow design, multi-step automation, conditional logic Custom node development and code nodes Production deployment, monitoring, error handling Backend & API Development Python, Node.js, or Gofluent in at least one language REST API design: error handling, rate limiting, versioning PostgreSQL/MySQL—query optimization, transaction handling Docker fundamentals and deployment Preferred Skills RPA exposure (UiPath, Automation Anywhere, Blue Prism) — additional benefit Experience with Dynamics 365 CRM or SAP HANA ERP systems RAG (Retrieval-Augmented Generation) implementation with vector databases Multimodal LLM integration (text + image analysis) Alfresco DMS or document management system experience Voice AI / multilingual NLP experience Why US? India's first hospital with dual NABH + JCI accreditation (gold standard) AI-first hospital—robotic surgery (CORI/Versius), AI PET-CT, dual Medical AI systems Modern tech stack—Dynamics 365, SAP HANA, Laravel, n8n, Claude API Real impact—100K+ patients/year, clinical workflows powered by AI Only hospital in India with this level of AI maturity For further details Call / WhatsApp Ashutosh: 9354909515 or Write on ta3@gist.org.in
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