AI Fullstack Engineer

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