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Full Stack AI Engineer (.Net Core + Python + React/Angular+ Azure AI)

  • Source: Naukri
  • Ascendion Engineering
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

We are seeking a hands-on .NET/Python Full Stack AI Engineer (.Net Core + React/Angular+ Azure AI + Python + US Healthcare) with a Forward Deployed Engineer (FDE) mindset to bridge healthcare business needs and technology solutions. The ideal candidate will partner directly with stakeholders, architect and build scalable cloud-native applications, leverage AI capabilities, and drive measurable business outcomes across healthcare payer operations.

Key Responsibilities

  • Collaborate with healthcare business stakeholders to understand workflows, challenges, and objectives.
  • Design, develop, and deploy scalable end-to-end solutions spanning applications, APIs, integrations, data platforms, and AI capabilities.
  • Leverage AI/LLMs, Agentic AI, RAG, and automation to improve healthcare operations and engineering productivity.
  • Drive cloud engineering, DevOps, modernization, and operational excellence.
  • Own the complete solution lifecycle from discovery and architecture through deployment and production support.
  • Mentor teams and promote engineering excellence, innovation, and reusable frameworks.

Healthcare Domain Expertise Experience in one or more of the following areas: Claims Processing & Adjudication, Member Enrollment & Eligibility, Provider Management, Healthcare EDI (HIPAA X12), Benefits Administration, Prior Authorization, Care Management, Utilization Management, Grievance & Appeals, Payment Integrity, or Clinical Operations.

Preferred: Knowledge of HL7, FHIR, healthcare APIs, and interoperability standards.

Technical Skills

  • 7+ years to 12 years of relevant experience on the technologies required as below.
  • Full-Stack Engineering: .NET Core/ C#, Python, modern front-end frameworks, REST APIs, microservices, SQL/NoSQL databases, and event-driven architectures.
  • Cloud & Platform Engineering: Azure cloud-native development, Azure DevOps/GitHub Actions, CI/CD, containers, Kubernetes, Infrastructure as Code, and scalable secure architectures.
  • AI & Intelligent Automation: Generative AI, LLMs, Agentic AI, RAG, intelligent automation, and AI-enabled software engineering practices.

Skills

  • Python
  • React
  • azure-stack
  • microsoft-azure
  • processing-js
  • fhir
  • c-sharp
  • azure-devops
  • Github
  • github-actions
  • Kubernetes
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