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Open nowPosted 29 days ago

Senior Full Stack AI Developer - MERN

TechAhead6 open roles

Where
Noida
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Your applicationOpen nowSenior Full Stack AI Developer - MERNTechAhead · Noida

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 29 days ago

The posting

We are looking for a highly skilled Senior Full Stack Developer with strong hands-on experience in MERN stack development, Epic EHR/EMR integrations, and modern AI/GenAI technologies. The ideal candidate will be responsible for designing, developing, integrating, and maintaining scalable healthcare applications that interact with Epic and other healthcare systems. The candidate should have a strong understanding of healthcare interoperability standards such as FHIR and HL7, along with experience working with APIs, clinical data, authentication, and secure healthcare integrations. In addition to strong full-stack engineering skills, the candidate should have practical hands-on experience with AI/GenAI, including integrating AI capabilities into applications, working with LLMs, AI APIs, prompt engineering, RAG, or AI-assisted workflows. The candidate must be comfortable taking ownership of technical assignments independently and participating in architecture and technical discussions the stakeholders.

Key Responsibilities:

1. Full Stack Development – MERN

  • Design, develop, and maintain scalable web applications using:
  • MongoDB
  • Express.js
  • React.js
  • Node.js
  • Develop reusable, maintainable, and secure frontend and backend components.
  • Build responsive and user-friendly healthcare application interfaces using React.
  • Develop scalable RESTful APIs and backend services using Node.js.
  • Implement appropriate application architecture, design patterns, validation, error handling, logging, and exception management.
  • Optimize application performance across frontend, backend, and database layers.
  • Participate in code reviews and ensure adherence to coding standards and engineering best practices.

2. Epic Integration & Healthcare Interoperability

  • Design and implement integrations between applications and Epic EHR/EMR.
  • Develop and consume Epic APIs and healthcare interoperability interfaces.
  • Work extensively with FHIR-based APIs and resources for exchanging healthcare information.
  • Understand and work with healthcare data such as:
  • Patient demographics
  • Patient/clinical records
  • Encounters
  • Appointments
  • Providers
  • Medications
  • Allergies
  • Diagnoses/conditions
  • Lab results
  • Clinical observations
  • Work with HL7 interfaces and healthcare integration workflows.
  • Understand Epic integration concepts such as FHIR APIs, SMART on FHIR, OAuth 2.0, and Epic App Orchard.
  • Build reliable workflows for retrieving, transforming, validating, and synchronizing healthcare data between Epic and external applications.
  • Handle API authentication, authorization, token management, error handling, retries, rate limits, and integration failures.
  • Troubleshoot and resolve issues across Epic and application integration layers.
  • Collaborate with healthcare domain experts, product teams, and client stakeholders to understand clinical workflows and integration requirements.

3. AI / Generative AI Development

  • Design and implement AI/GenAI capabilities within healthcare applications.
  • Work hands-on with LLMs and AI APIs to build practical business and healthcare use cases.
  • Experience integrating models/services from platforms such as OpenAI, Azure OpenAI, or equivalent is highly desirable.
  • Develop AI-powered features such as:
  • Intelligent search
  • Summarization
  • Clinical/document summarization
  • Natural-language interfaces
  • Knowledge assistants
  • Content generation
  • Intelligent classification
  • Data extraction
  • AI-powered workflow automation
  • Develop and optimize prompts and workflows using prompt engineering techniques.
  • Build RAG (Retrieval-Augmented Generation) solutions using appropriate vector databases/search technologies.
  • Understand concepts such as embeddings, vector search, context management, hallucination mitigation, and LLM evaluation.
  • Integrate AI capabilities securely into existing applications and APIs.
  • Evaluate AI-generated responses for accuracy, reliability, relevance, and safety.
  • Identify opportunities where AI can improve operational efficiency, user experience, and productivity.

4. Healthcare Security & Compliance

  • Develop applications following HIPAA and healthcare security best practices.
  • Ensure appropriate protection of PHI/PII throughout application and integration workflows.
  • Implement secure authentication and authorization mechanisms.
  • Work with OAuth 2.0, JWT, RBAC, and secure API practices.
  • Ensure sensitive healthcare data is appropriately protected in transit and at rest.
  • Follow secure coding practices and contribute to vulnerability remediation.
  • Understand the security implications of using AI/LLMs with healthcare data.
  • Ensure AI solutions are designed with appropriate controls around PHI, data privacy, access, logging, and auditability.

5. API & Integration Engineering

  • Design and develop scalable REST APIs and integration services.
  • Integrate Epic and other third-party healthcare systems.
  • Implement API validation, error handling, retries, logging, monitoring, and observability.
  • Build asynchronous and event-driven workflows where required.
  • Transform healthcare data between different formats and systems.
  • Troubleshoot API and integration issues across development, staging, and production environments.

6. Performance, Quality & Production Support

  • Identify and resolve application performance bottlenecks.
  • Optimize API response times, database queries, and frontend performance.
  • Troubleshoot production issues and perform Root Cause Analysis (RCA).
  • Implement logging, monitoring, and alerting mechanisms.
  • Write unit, integration, and API tests.
  • Participate in production deployments and release activities.
  • Ensure applications remain stable, scalable, secure, and maintainable.

7. Collaboration & Technical Ownership

  • Work directly with the product team, engineering, healthcare, and business stakeholders.
  • Independently analyze requirements and convert them into technical solutions.
  • Participate in technical design and architecture discussions.
  • Provide effort estimates and identify technical risks and dependencies.
  • Collaborate with frontend, backend, QA, DevOps, product, and healthcare integration teams.
  • Mentor junior developers and provide technical guidance where required.
  • Take ownership of assigned features from requirement analysis through development, testing, deployment, and production support.

Must-Have Skills:

Full Stack Development

  • 5+ years of professional software development experience.
  • Strong hands-on expertise in Node.js, React.js, Express.js, and MongoDB.
  • Strong JavaScript/TypeScript skills.
  • Excellent understanding of REST APIs and modern web application architecture.
  • Experience building scalable and maintainable backend services.

Epic & Healthcare Integration

  • Strong hands-on experience with Epic EHR/EMR integration.
  • Experience working with Epic APIs / FHIR APIs.
  • Strong understanding of HL7 and FHIR.
  • Experience with SMART on FHIR and OAuth 2.0.
  • Understanding of healthcare data structures and clinical workflows.
  • Experience troubleshooting healthcare system integrations.

AI / GenAI

  • Strong practical, hands-on experience with AI/Generative AI.
  • Experience integrating LLMs or AI APIs into software applications.
  • Experience with prompt engineering.
  • Hands-on experience with RAG, embeddings, vector search, or AI agents is highly desirable.
  • Ability to identify and implement meaningful AI use cases rather than simply consuming AI tools for coding assistance.
  • Understanding of AI security, privacy, hallucination, evaluation, and responsible AI practices.

Healthcare & Security

  • Good understanding of HIPAA, PHI, and healthcare data security.
  • Experience implementing secure APIs and authentication mechanisms.
  • Understanding of OAuth2, JWT, RBAC, and secure token management.

Good-to-Have Skills:

  • Experience with Epic App Orchard.
  • Experience with SMART on FHIR application development.
  • Experience with additional healthcare interoperability standards and technologies.
  • Experience with Azure / AWS cloud platforms.
  • Experience with Docker and CI/CD pipelines.
  • Experience with microservices architecture.
  • Experience with message queues or event-driven architecture.
  • Experience with PostgreSQL, MySQL, or SQL Server in addition to MongoDB.
  • Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
  • Experience with vector databases/search technologies such as Azure AI Search, Pinecone, Weaviate, or similar.
  • Experience developing AI-powered healthcare applications.
  • Exposure to VAPT, OWASP, secure coding, and cloud security.

About TechAhead:

TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions. With over 16 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients.

Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies!

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