AI Fullstack Engineer

Ascendion; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Ascendion is seeking an AI Solutions / AI Fullstack Engineer to design and deliver cloud-native healthcare software across frontend, backend, APIs, and data platforms. You will work with Python, .NET, ReactJS and AI capabilities, engaging with healthcare stakeholders in a multi-city setup including Pune, Bengaluru, Chennai, and Hyderabad.

The role requires 7–12 years of experience, with 2 PM–11 PM IST shifts and an immediate to 30-day joiner window.

Qualifications

• Must have Python, AI/ML experience, RAG, C#, .NET, LLMs, GenAI Frameworks (LangGraph / Lang Chain / Llama Index / AutoGen / Crew AI / Hugging Face), Azure AI Services, ReactJs, and US Healthcare domain expertise.

Responsibilities

• Partner with healthcare stakeholders to understand workflows, challenges and objectives across payer operations.
• Translate business needs into scalable, secure, cloud-native solutions.
• Design enterprise architecture and build end-to-end apps 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 and outcomes.
• Identify modernization opportunities and propose innovative solutions.
• Own the complete solution lifecycle from discovery to production support.
• Mentor teams and promote engineering excellence through standards and practices.

Skills

Full stack engineering

Healthcare domain expertise

AI/LLMs experience

Azure cloud services

REST APIs

Tools

LangGraph

LangChain

Llama Index

AutoGen

Crew AI

Hugging Face

Azure DevOps

GitHub Actions

Kubernetes

Job description

Job Title: AI Solutions / AI Fullstack Engineer

Location: Pune, MH / Bangalore, KA / Chennai, TN / Hyderabad, TG

Work Hours: 2 PM - 11 PM IST

Notice: Immediate - 30 Days Joiner

Experience: 7 - 12 Years

Mandate Skillset: Python, AI/ML experience, RAG, C#, .Net, LLMs, GenAI Frameworks (LangGraph / Lang Chain / Llama Index / AutoGen / Crew AI / Hugging Face), Azure AI Services, ReactJs and US Healthcare (Domain Expertise)

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 lifecycle—from discovery, architecture, design, development, testing, deployment, and production support.
• Mentor engineering teams and establish engineering excellence through architecture standards, coding practices, and innovation.

Domain Skills

• Strong expertise in healthcare payer/provider domains such as 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 including fullstack application development, .NET / C#, Python, REST APIs & Microservices, Modern Frontend Frameworks, SQL / NoSQL databases, event driven architecture
• Cloud & DevOps expertise in 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 skills such as AI/LLM solution design and implementation, generative AI applications, agentic AI workflows, Retrieval Augmented Generation (RAG), intelligent automation, AI enabled software engineering practices