Healthcare AI Full Stack Engineer

Ascendion Engineering; Pune District, Chennai District, Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Ascendion Engineering in India is seeking a Healthcare AI Full Stack Engineer with 6+ years of experience to design and deliver scalable, cloud-native solutions for US healthcare workflows.

You will own end-to-end architecture, work across frontend, backend, APIs, data platforms, and AI capabilities, and collaborate with stakeholders to translate complex requirements into production-grade software. Hybrid work in multiple cities with a focus on security and scalability.

Qualifications

• Experience in healthcare payer/provider domains with HIPAA knowledge.
• Hands-on full-stack development across frontend and backend.
• Experience designing cloud-native architectures and AI-enabled workflows.

Responsibilities

• Translate business needs into scalable cloud-native solutions.
• Design enterprise architecture and develop end-to-end applications.
• Develop production-grade software using .NET, Python, and microservices.
• Drive CI/CD, IaC, and DevOps practices for reliability and speed.
• Leverage AI/LLMs and intelligent automation to improve operations.

Skills

Healthcare domain

Full stack engineering

Cloud

DevOps

AI/LLMs

Tools

.NET/C#

Python

REST APIs

Microservices

Azure

Kubernetes

CI/CD

Job description

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-FDEwith 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 morehealthcare 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