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Healthcare AI Full Stack Engineer

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Hybrid

Healthcare AI Full Stack Engineer

Ascendion Engineering

Healthcare AI Full Stack Engineer

Skills

SQL QueriesPythonC#.NETMicroservicesAIGitHubKubernetesAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

31 August 2026

What they need


Job Title: Healthcare AI Full Stack Engineer
Experience: 6+ Years
Domain: US Healthcare
Employment Type: Full-time

Location: Hyderabad/ Chennai/ Pune/ Bengaluru/ Vadodara (Hybrid)

Work Hours: 2-11 pm IST

Job Description: Healthcare AI Solution Engineer

We are seeking a highly motivated and hands-on Healthcare AI Solution Engineer / Mid-FDE with the mindset of a Forward Deployed Engineer (FDE).

This role is designed for a rare engineering leader who can bridge business and technology understanding complex healthcare operations, engaging directly with stakeholders, architecting scalable solutions, writing production-quality software, leveraging AI capabilities, and delivering measurable business outcomes.

The ideal candidate combines deep healthcare payer domain expertise with strong full-stack engineering, cloud, DevOps, AI, and architecture skills. This individual takes complete ownership from problem discovery through solution design, development, deployment, and continuous improvement.

Key Responsibilities

  • Partner directly with healthcare business stakeholders to understand workflows, challenges, and strategic objectives across payer operations.
  • Translate business needs into scalable, secure, cloud-native technology solutions.
  • Design enterprise solution architecture and build end-to-end applications across frontend, backend, APIs, integrations, data platforms, and AI capabilities.
  • Develop production-grade software using .NET, Python, modern frameworks, microservices, APIs, and engineering best practices.
  • Drive cloud engineering, DevOps, CI/CD, Infrastructure as Code, automation, monitoring, and operational excellence.
  • Leverage AI/LLMs, intelligent agents, and automation to improve healthcare operations, engineering productivity, and business outcomes.
  • Identify modernization opportunities and proactively recommend innovative solutions.
  • Own the complete solution lifecyclefrom discovery, architecture, design, development, testing, deployment, and production support.
  • Mentor engineering teams and establish engineering excellence through architecture standards, coding practices, and innovation.

Required Healthcare Domain Experience

Strong expertise in one or more healthcare payer/provider domains, including:

  • Member Enrollment & Eligibility
  • Claims Processing & Adjudication
  • Provider Management
  • Healthcare EDI (HIPAA X12 Transactions)
  • Benefits Administration
  • Prior Authorization
  • Care Management (CM)
  • Utilization Management (UM)
  • Disease Management (DM)
  • Clinical Operations
  • Grievance & Appeals (G&A)
  • Payment Integrity

Experience with healthcare interoperability standards such as HL7/FHIR, APIs, and healthcare data exchange patterns is preferred.

Technical Skills

Full Stack Engineering

  • Full-stack application development
  • .NET / C#
  • Python
  • REST APIs & Microservices
  • Modern frontend frameworks
  • SQL / NoSQL databases
  • Event-driven architecture

Cloud & DevOps

  • Azure Cloud Architecture
  • Cloud-native application development
  • Azure DevOps / GitHub Actions
  • CI/CD automation
  • Containers & Kubernetes
  • Infrastructure as Code
  • Security, performance, and scalability engineering

AI & Intelligent Engineering

  • AI/LLM solution design and implementation
  • Generative AI applications
  • Agentic AI workflows
  • Retrieval Augmented Generation (RAG)
  • Intelligent automation
  • AI-enabled software engineering practices

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